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README.md
Task1.ipynb
Task1.py
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Task2.py
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report_french_TP2_Classification_et_pretraitement_de_textes.pdf
requirements.txt

README.md

Sentiment analysis and language identification

This is a project for the Natural Language Processing (NLP) class "IFT-7022 Techniques et applications du traitement automatique de la langue (TALN)" of Luc Lamontagne.

Tasks

There are two tasks to do in this homework:

  • Task 1: classify positive and negative emotion in a document.
  • Task 2: predict language in a document.

License

The current code is released under the BSD-3-Clause license. See LICENSE.md. Copyright 2018 Guillaume Chevalier.

Note: as this is a university school project, the licences of the imported librairies, datasets, or other assets has not been checked.

Using the provided data

Here is the structure of the folders for this code to run:

(Note: all text files have been ignored with grep so as to make the tree shorter, and the tree was captured before creating the src* folder. The data could be downloaded from the course website.)

!tree data | grep -v txt | grep -v text
!pwd
data
├── task1
│   └── Book
│       ├── neg_Bk
│       └── pos_Bk
└── task2
    └── identification_langue
        ├── corpus_entrainement
        └── corpus_test1

8 directories, 2044 files
/home/users_home/Documents/Session 7/NLP/TP2

Also see the requirements.txt file:

!cat requirements.txt
# Python 3.6
conv
numpy
scikit-learn
nltk
# nltk.download('stopwords')
# nltk.download('tagsets')
# nltk.download('sentiwordnet')
matplotlib

Task 1: classify positive and negative emotion in a document.

# Python 3.6

import os
import glob

from src.pipeline_steps.nltk_word_tokenize import NLTKTokenizer
from src.pipeline_steps.to_lower_case import ToLowerCase
from src.pipeline_steps.remove_stop_words import RemoveStopWords
from src.pipeline_steps.keep_open_classes_only import KeepOpenClassesOnly
from src.pipeline_steps.sentiwordnet import SentiWordNetPosNegAttributes
from src.pipeline_steps.porter_stemmer import PorterStemmerStep
from src.pipeline_steps.data_shape_printer import ShapePrinter
from src.data_loading.task_1 import load_all_data_task_1
from src.text_classifier_pipelines.stop_words_open_class_stemmer.pipeline_factory import find_and_train_best_pipelines
[nltk_data] Downloading package stopwords to /home/gui/nltk_data...
[nltk_data]   Package stopwords is already up-to-date!
[nltk_data] Downloading package sentiwordnet to /home/gui/nltk_data...
[nltk_data]   Package sentiwordnet is already up-to-date!
neg_Bk_files = glob.glob(os.path.join(".", "data", "task1", "Book", "neg_Bk", "*.text"))
pos_Bk_files = glob.glob(os.path.join(".", "data", "task1", "Book", "pos_Bk", "*.text"))

X_train, y_train, X_test, y_test = load_all_data_task_1(neg_Bk_files, pos_Bk_files)

print(len(X_train), len(y_train), len(X_test), len(y_test))
1600 1600 400 400
best_trained_pipelines = find_and_train_best_pipelines(X_train, y_train)
Will start Cross Validation for Logistic Classifiers.

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase all_attributes with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Logistic Classifier with_lowercase all_attributes with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.796875):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase all_attributes with_pos_neg_attribute '...
Best hyperparameters for 'Logistic Classifier with_lowercase all_attributes with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.79125):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase all_attributes with_stemming '...
Best hyperparameters for 'Logistic Classifier with_lowercase all_attributes with_stemming ' (4-folds cross validation accuracy score=0.785625):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase all_attributes '...
Best hyperparameters for 'Logistic Classifier with_lowercase all_attributes ' (4-folds cross validation accuracy score=0.79):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase remove_stop_words with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Logistic Classifier with_lowercase remove_stop_words with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.7725):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 1, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 100.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase remove_stop_words with_pos_neg_attribute '...
Best hyperparameters for 'Logistic Classifier with_lowercase remove_stop_words with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.759375):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase remove_stop_words with_stemming '...
Best hyperparameters for 'Logistic Classifier with_lowercase remove_stop_words with_stemming ' (4-folds cross validation accuracy score=0.770625):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 1, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase remove_stop_words '...
Best hyperparameters for 'Logistic Classifier with_lowercase remove_stop_words ' (4-folds cross validation accuracy score=0.766875):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Logistic Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.789375):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute '...
Best hyperparameters for 'Logistic Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.775625):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 1, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase keep_open_classes_only with_stemming '...
Best hyperparameters for 'Logistic Classifier with_lowercase keep_open_classes_only with_stemming ' (4-folds cross validation accuracy score=0.78875):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier with_lowercase keep_open_classes_only '...
Best hyperparameters for 'Logistic Classifier with_lowercase keep_open_classes_only ' (4-folds cross validation accuracy score=0.775625):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier all_attributes with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Logistic Classifier all_attributes with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.794375):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier all_attributes with_pos_neg_attribute '...
Best hyperparameters for 'Logistic Classifier all_attributes with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.785625):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier all_attributes with_stemming '...
Best hyperparameters for 'Logistic Classifier all_attributes with_stemming ' (4-folds cross validation accuracy score=0.78875):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier all_attributes '...
Best hyperparameters for 'Logistic Classifier all_attributes ' (4-folds cross validation accuracy score=0.775625):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier remove_stop_words with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Logistic Classifier remove_stop_words with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.7725):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 1, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier remove_stop_words with_pos_neg_attribute '...
Best hyperparameters for 'Logistic Classifier remove_stop_words with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.764375):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier remove_stop_words with_stemming '...
Best hyperparameters for 'Logistic Classifier remove_stop_words with_stemming ' (4-folds cross validation accuracy score=0.77375):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 1, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier remove_stop_words '...
Best hyperparameters for 'Logistic Classifier remove_stop_words ' (4-folds cross validation accuracy score=0.76875):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier keep_open_classes_only with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Logistic Classifier keep_open_classes_only with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.78875):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier keep_open_classes_only with_pos_neg_attribute '...
Best hyperparameters for 'Logistic Classifier keep_open_classes_only with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.788125):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier keep_open_classes_only with_stemming '...
Best hyperparameters for 'Logistic Classifier keep_open_classes_only with_stemming ' (4-folds cross validation accuracy score=0.789375):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Logistic Classifier keep_open_classes_only '...
Best hyperparameters for 'Logistic Classifier keep_open_classes_only ' (4-folds cross validation accuracy score=0.7775):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'logistic_regression__C': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase all_attributes with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase all_attributes with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.801875):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase all_attributes with_pos_neg_attribute '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase all_attributes with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.805):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase all_attributes with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase all_attributes with_stemming ' (4-folds cross validation accuracy score=0.798125):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase all_attributes '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase all_attributes ' (4-folds cross validation accuracy score=0.8025):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.78):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words with_pos_neg_attribute '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.78375):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words with_stemming ' (4-folds cross validation accuracy score=0.783125):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 1, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 0.1}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words ' (4-folds cross validation accuracy score=0.785):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 1, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 0.1}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.79625):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.794375):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only with_stemming ' (4-folds cross validation accuracy score=0.7925):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only ' (4-folds cross validation accuracy score=0.798125):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier all_attributes with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier all_attributes with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.8):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier all_attributes with_pos_neg_attribute '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier all_attributes with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.810625):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 1, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 0.1}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier all_attributes with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier all_attributes with_stemming ' (4-folds cross validation accuracy score=0.79625):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 0.1}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier all_attributes '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier all_attributes ' (4-folds cross validation accuracy score=0.80625):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 0.1}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier remove_stop_words with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier remove_stop_words with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.78):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier remove_stop_words with_pos_neg_attribute '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier remove_stop_words with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.78375):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier remove_stop_words with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier remove_stop_words with_stemming ' (4-folds cross validation accuracy score=0.778125):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 1, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 0.1}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier remove_stop_words '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier remove_stop_words ' (4-folds cross validation accuracy score=0.78375):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier keep_open_classes_only with_pos_neg_attribute with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier keep_open_classes_only with_pos_neg_attribute with_stemming ' (4-folds cross validation accuracy score=0.803125):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier keep_open_classes_only with_pos_neg_attribute '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier keep_open_classes_only with_pos_neg_attribute ' (4-folds cross validation accuracy score=0.803125):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier keep_open_classes_only with_stemming '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier keep_open_classes_only with_stemming ' (4-folds cross validation accuracy score=0.801875):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 3), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}

Cross-Validation Grid Search for: 'Multinomial Naive Bayes Classifier keep_open_classes_only '...
Best hyperparameters for 'Multinomial Naive Bayes Classifier keep_open_classes_only ' (4-folds cross validation accuracy score=0.79875):
{'count_vect_that_remove_unfrequent_words_and_stopwords__lowercase': False, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_df': 0.98, 'count_vect_that_remove_unfrequent_words_and_stopwords__max_features': 500000, 'count_vect_that_remove_unfrequent_words_and_stopwords__min_df': 2, 'count_vect_that_remove_unfrequent_words_and_stopwords__ngram_range': (1, 2), 'count_vect_that_remove_unfrequent_words_and_stopwords__preprocessor': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__strip_accents': None, 'count_vect_that_remove_unfrequent_words_and_stopwords__tokenizer': <function identity at 0x7f3a6fc2a598>, 'naive_bayes_multi__alpha': 1.0}
print("The final test: classifying on test documents:")
print("")
print("Note: the test set was of 20% of full data, which was held-out of cross validation.")
print("")
max_score = 0
max_score_model = ""
for (model_name, model) in best_trained_pipelines.items():
    score = model.score(X_test, y_test) * 100
    if score > max_score: 
        max_score = score
        max_score_model = model_name
    print("Test set score for '{}': {}%".format(model_name, score))
print("")
print("Max score is by '{}': {}%".format(max_score_model, max_score))
print("")
The final test: classifying on test documents:

Note: the test set was of 20% of full data, which was held-out of cross validation.

Test set score for 'Logistic Classifier with_lowercase all_attributes with_pos_neg_attribute with_stemming ': 84.25%
Test set score for 'Logistic Classifier with_lowercase all_attributes with_pos_neg_attribute ': 81.5%
Test set score for 'Logistic Classifier with_lowercase all_attributes with_stemming ': 81.75%
Test set score for 'Logistic Classifier with_lowercase all_attributes ': 81.25%
Test set score for 'Logistic Classifier with_lowercase remove_stop_words with_pos_neg_attribute with_stemming ': 80.0%
Test set score for 'Logistic Classifier with_lowercase remove_stop_words with_pos_neg_attribute ': 81.5%
Test set score for 'Logistic Classifier with_lowercase remove_stop_words with_stemming ': 78.75%
Test set score for 'Logistic Classifier with_lowercase remove_stop_words ': 79.25%
Test set score for 'Logistic Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute with_stemming ': 81.5%
Test set score for 'Logistic Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute ': 81.25%
Test set score for 'Logistic Classifier with_lowercase keep_open_classes_only with_stemming ': 81.5%
Test set score for 'Logistic Classifier with_lowercase keep_open_classes_only ': 82.75%
Test set score for 'Logistic Classifier all_attributes with_pos_neg_attribute with_stemming ': 83.75%
Test set score for 'Logistic Classifier all_attributes with_pos_neg_attribute ': 81.75%
Test set score for 'Logistic Classifier all_attributes with_stemming ': 81.5%
Test set score for 'Logistic Classifier all_attributes ': 80.0%
Test set score for 'Logistic Classifier remove_stop_words with_pos_neg_attribute with_stemming ': 81.75%
Test set score for 'Logistic Classifier remove_stop_words with_pos_neg_attribute ': 80.75%
Test set score for 'Logistic Classifier remove_stop_words with_stemming ': 79.5%
Test set score for 'Logistic Classifier remove_stop_words ': 79.0%
Test set score for 'Logistic Classifier keep_open_classes_only with_pos_neg_attribute with_stemming ': 80.0%
Test set score for 'Logistic Classifier keep_open_classes_only with_pos_neg_attribute ': 81.25%
Test set score for 'Logistic Classifier keep_open_classes_only with_stemming ': 81.75%
Test set score for 'Logistic Classifier keep_open_classes_only ': 80.5%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase all_attributes with_pos_neg_attribute with_stemming ': 80.75%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase all_attributes with_pos_neg_attribute ': 79.5%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase all_attributes with_stemming ': 80.75%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase all_attributes ': 80.0%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words with_pos_neg_attribute with_stemming ': 81.75%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words with_pos_neg_attribute ': 79.25%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words with_stemming ': 78.25%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase remove_stop_words ': 78.5%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute with_stemming ': 79.75%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only with_pos_neg_attribute ': 79.25%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only with_stemming ': 78.25%
Test set score for 'Multinomial Naive Bayes Classifier with_lowercase keep_open_classes_only ': 79.0%
Test set score for 'Multinomial Naive Bayes Classifier all_attributes with_pos_neg_attribute with_stemming ': 80.25%
Test set score for 'Multinomial Naive Bayes Classifier all_attributes with_pos_neg_attribute ': 79.75%
Test set score for 'Multinomial Naive Bayes Classifier all_attributes with_stemming ': 79.75%
Test set score for 'Multinomial Naive Bayes Classifier all_attributes ': 78.0%
Test set score for 'Multinomial Naive Bayes Classifier remove_stop_words with_pos_neg_attribute with_stemming ': 81.75%
Test set score for 'Multinomial Naive Bayes Classifier remove_stop_words with_pos_neg_attribute ': 78.5%
Test set score for 'Multinomial Naive Bayes Classifier remove_stop_words with_stemming ': 78.25%
Test set score for 'Multinomial Naive Bayes Classifier remove_stop_words ': 78.75%
Test set score for 'Multinomial Naive Bayes Classifier keep_open_classes_only with_pos_neg_attribute with_stemming ': 81.5%
Test set score for 'Multinomial Naive Bayes Classifier keep_open_classes_only with_pos_neg_attribute ': 80.0%
Test set score for 'Multinomial Naive Bayes Classifier keep_open_classes_only with_stemming ': 80.5%
Test set score for 'Multinomial Naive Bayes Classifier keep_open_classes_only ': 79.25%

Max score is by 'Logistic Classifier with_lowercase all_attributes with_pos_neg_attribute with_stemming ': 84.25%

Task 2: predict language in a document.

# Python 3.6

import os
import glob
from collections import Counter

import nltk

from src.data_loading.task_2 import load_train, load_test
from src.text_classifier_pipelines.char_ngram.logistic import find_and_train_best_logistic_pipeline
from src.text_classifier_pipelines.char_ngram.multinomial_naive_bayes import find_and_train_best_multinomial_pipeline
from src.evaluation.eval_and_plot import eval_and_plot

First: load data.

corpus_train = glob.glob(os.path.join(".", "data", "task2", "identification_langue", "corpus_entrainement", "*.txt"))
corpus_test1 = glob.glob(os.path.join(".", "data", "task2", "identification_langue", "corpus_test1", "*.txt"))

print("Train files found:", corpus_train)
print("")
print("Test files found:", corpus_test1)
print("")

X_train, y_train, labels_readable = load_train(corpus_train, sentence_tokenizer=nltk.sent_tokenize)
X_test, y_test = load_test(corpus_test1, labels_readable)

print("'print(len(X_train), len(y_train))':")
print(len(X_train), len(y_train))
print("'print(len(X_test), len(y_test))':")
print(len(X_test), len(y_test))
print("")
print("Do we have a balanced dataset after counting sentences in train, and items in test?")
print("    Train:", Counter(y_train))
print("    Test:", Counter(y_test))
print("Note: Indices are labels' indexes, and counts are their appearance. Labels are:")
print(list(enumerate(labels_readable)))
print("")
Train files found: ['./data/task2/identification_langue/corpus_entrainement/espanol-training.txt', './data/task2/identification_langue/corpus_entrainement/portuguese-training.txt', './data/task2/identification_langue/corpus_entrainement/french-training.txt', './data/task2/identification_langue/corpus_entrainement/english-training.txt']

Test files found: ['./data/task2/identification_langue/corpus_test1/test15-es.txt', './data/task2/identification_langue/corpus_test1/test26-pt.txt', './data/task2/identification_langue/corpus_test1/test39-es.txt', './data/task2/identification_langue/corpus_test1/test3-fr.txt', './data/task2/identification_langue/corpus_test1/test28-pt.txt', './data/task2/identification_langue/corpus_test1/test40-es.txt', './data/task2/identification_langue/corpus_test1/test12-fr.txt', './data/task2/identification_langue/corpus_test1/test20-fr.txt', './data/task2/identification_langue/corpus_test1/test24-pt.txt', './data/task2/identification_langue/corpus_test1/test35-en.txt', './data/task2/identification_langue/corpus_test1/test4-en.txt', './data/task2/identification_langue/corpus_test1/test14-en.txt', './data/task2/identification_langue/corpus_test1/test9-en.txt', './data/task2/identification_langue/corpus_test1/test33-en.txt', './data/task2/identification_langue/corpus_test1/test13-fr.txt', './data/task2/identification_langue/corpus_test1/test21-pt.txt', './data/task2/identification_langue/corpus_test1/test34-en.txt', './data/task2/identification_langue/corpus_test1/test10-fr.txt', './data/task2/identification_langue/corpus_test1/test30-pt.txt', './data/task2/identification_langue/corpus_test1/test11-es.txt', './data/task2/identification_langue/corpus_test1/test18-fr.txt', './data/task2/identification_langue/corpus_test1/test17-en.txt', './data/task2/identification_langue/corpus_test1/test5-en.txt', './data/task2/identification_langue/corpus_test1/test25-pt.txt', './data/task2/identification_langue/corpus_test1/test31-fr.txt', './data/task2/identification_langue/corpus_test1/test16-en.txt', './data/task2/identification_langue/corpus_test1/test29-pt.txt', './data/task2/identification_langue/corpus_test1/test32-fr.txt', './data/task2/identification_langue/corpus_test1/test2-fr.txt', './data/task2/identification_langue/corpus_test1/test23-pt.txt', './data/task2/identification_langue/corpus_test1/test6-fr.txt', './data/task2/identification_langue/corpus_test1/test22-pt.txt', './data/task2/identification_langue/corpus_test1/test37-es.txt', './data/task2/identification_langue/corpus_test1/test27-pt.txt', './data/task2/identification_langue/corpus_test1/test19-es.txt', './data/task2/identification_langue/corpus_test1/test8-es.txt', './data/task2/identification_langue/corpus_test1/test36-en.txt', './data/task2/identification_langue/corpus_test1/test1-es.txt', './data/task2/identification_langue/corpus_test1/test7-es.txt', './data/task2/identification_langue/corpus_test1/test38-es.txt']

'print(len(X_train), len(y_train))':
767 767
'print(len(X_test), len(y_test))':
40 40

Do we have a balanced dataset after counting sentences in train, and items in test?
    Train: Counter({0: 258, 3: 211, 2: 188, 1: 110})
    Test: Counter({1: 10, 3: 10, 2: 10, 0: 10})
Note: Indices are labels' indexes, and counts are their appearance. Labels are:
[(0, 'english'), (1, 'espanol'), (2, 'french'), (3, 'portuguese')]

Then, create Pipeline() classes for scikit-learn

Because here, we want to perform those steps in order:

  1. Lowercase the text (but keep accents).
  2. Convert the documents to char ngrams.
  3. Use the classifier of our choice later on.

This is done in the from src.text_classifier_pipelines local package imported.

Training First Pipeline: TF-IDF Logistic Classifier.

Cross Validation is performed.

best_trained_logistic_pipelines = find_and_train_best_logistic_pipeline(X_train, y_train)
Will start Cross Validation for Logistic Classifiers.

Cross-Validation Grid Search for: '1-gram'...
Best hyperparameters for '1-gram' (4-folds cross validation accuracy score=0.924380704041721):
{'count_vectorizer__lowercase': False, 'count_vectorizer__max_df': 0.98, 'count_vectorizer__max_features': 100000, 'count_vectorizer__min_df': 1, 'count_vectorizer__ngram_range': (1, 1), 'count_vectorizer__preprocessor': None, 'count_vectorizer__strip_accents': None, 'count_vectorizer__tokenizer': <function identity at 0x7f4226572a60>, 'logistic_regression__C': 1000.0, 'tf_idf__norm': 'l1', 'tf_idf__smooth_idf': True, 'tf_idf__sublinear_tf': False, 'to_ngram__ngram': 1, 'to_ngram__stride': 1}

Cross-Validation Grid Search for: '2-gram'...
Best hyperparameters for '2-gram' (4-folds cross validation accuracy score=0.9934810951760105):
{'count_vectorizer__lowercase': False, 'count_vectorizer__max_df': 0.98, 'count_vectorizer__max_features': 100000, 'count_vectorizer__min_df': 1, 'count_vectorizer__ngram_range': (1, 1), 'count_vectorizer__preprocessor': None, 'count_vectorizer__strip_accents': None, 'count_vectorizer__tokenizer': <function identity at 0x7f4226572a60>, 'logistic_regression__C': 1000.0, 'tf_idf__norm': 'l2', 'tf_idf__smooth_idf': True, 'tf_idf__sublinear_tf': False, 'to_ngram__ngram': 2, 'to_ngram__stride': 1}

Cross-Validation Grid Search for: '3-gram'...
Best hyperparameters for '3-gram' (4-folds cross validation accuracy score=0.9960886571056062):
{'count_vectorizer__lowercase': False, 'count_vectorizer__max_df': 0.98, 'count_vectorizer__max_features': 100000, 'count_vectorizer__min_df': 1, 'count_vectorizer__ngram_range': (1, 1), 'count_vectorizer__preprocessor': None, 'count_vectorizer__strip_accents': None, 'count_vectorizer__tokenizer': <function identity at 0x7f4226572a60>, 'logistic_regression__C': 1000.0, 'tf_idf__norm': 'l1', 'tf_idf__smooth_idf': True, 'tf_idf__sublinear_tf': True, 'to_ngram__ngram': 3, 'to_ngram__stride': 1}

Training Second Pipeline: TF-IDF Multinomial Naive Bayes Classifier.

Cross Validation is performed.

best_trained_bayes_pipelines = find_and_train_best_multinomial_pipeline(X_train, y_train)
Will start Cross Validation for Naive Bayes (MultinomialNB) Classifiers.

Cross-Validation Grid Search for: '1-gram'...
Best hyperparameters for '1-gram' (4-folds cross validation accuracy score=0.9269882659713168):
{'count_vectorizer__lowercase': False, 'count_vectorizer__max_df': 0.98, 'count_vectorizer__max_features': 100000, 'count_vectorizer__min_df': 1, 'count_vectorizer__ngram_range': (1, 1), 'count_vectorizer__preprocessor': None, 'count_vectorizer__strip_accents': None, 'count_vectorizer__tokenizer': <function identity at 0x7f4226572a60>, 'naive_bayes_multiclass__alpha': 0.01, 'tf_idf__norm': None, 'tf_idf__smooth_idf': True, 'tf_idf__sublinear_tf': False, 'to_ngram__ngram': 1, 'to_ngram__stride': 1}

Cross-Validation Grid Search for: '2-gram'...
Best hyperparameters for '2-gram' (4-folds cross validation accuracy score=0.9869621903520208):
{'count_vectorizer__lowercase': False, 'count_vectorizer__max_df': 0.98, 'count_vectorizer__max_features': 100000, 'count_vectorizer__min_df': 1, 'count_vectorizer__ngram_range': (1, 1), 'count_vectorizer__preprocessor': None, 'count_vectorizer__strip_accents': None, 'count_vectorizer__tokenizer': <function identity at 0x7f4226572a60>, 'naive_bayes_multiclass__alpha': 1.0, 'tf_idf__norm': None, 'tf_idf__smooth_idf': False, 'tf_idf__sublinear_tf': False, 'to_ngram__ngram': 2, 'to_ngram__stride': 1}

Cross-Validation Grid Search for: '3-gram'...
Best hyperparameters for '3-gram' (4-folds cross validation accuracy score=0.9973924380704041):
{'count_vectorizer__lowercase': False, 'count_vectorizer__max_df': 0.98, 'count_vectorizer__max_features': 100000, 'count_vectorizer__min_df': 1, 'count_vectorizer__ngram_range': (1, 1), 'count_vectorizer__preprocessor': None, 'count_vectorizer__strip_accents': None, 'count_vectorizer__tokenizer': <function identity at 0x7f4226572a60>, 'naive_bayes_multiclass__alpha': 0.1, 'tf_idf__norm': 'l2', 'tf_idf__smooth_idf': True, 'tf_idf__sublinear_tf': True, 'to_ngram__ngram': 3, 'to_ngram__stride': 1}
plot_range = 100

best_trained_pipelines = dict()
best_trained_pipelines.update(best_trained_logistic_pipelines)
best_trained_pipelines.update(best_trained_bayes_pipelines)

# eval_and_plot(best_trained_logistic_pipelines, X_test, y_test, plot_range=plot_range)
# eval_and_plot(best_trained_bayes_pipelines, X_test, y_test, plot_range=plot_range)
eval_and_plot(best_trained_pipelines, X_test, y_test, plot_range=plot_range)

print("")

png

print("The final test: classifying on test documents of full-length:")
print("")
max_score = 0
max_score_model = ""
for (model_name, model) in best_trained_pipelines.items():
    score = model.score(X_test, y_test) * 100
    if score > max_score: 
        max_score = score
        max_score_model = model_name
    print("Test set score for '{}': {}%".format(model_name, score))
print("")
print("Max score is by '{}': {}%".format(max_score_model, max_score))
print("")
The final test: classifying on test documents of full-length:

Test set score for '1-gram Char Logistic Classifier': 100.0%
Test set score for '2-gram Char Logistic Classifier': 100.0%
Test set score for '3-gram Char Logistic Classifier': 100.0%
Test set score for '1-gram Char Multinomial Naive Bayes Classifier': 95.0%
Test set score for '2-gram Char Multinomial Naive Bayes Classifier': 100.0%
Test set score for '3-gram Char Multinomial Naive Bayes Classifier': 100.0%

Max score is by '1-gram Char Logistic Classifier': 100.0%
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