This repository includes python code to perform sentence classification using Naïve Bayes Classifier with Laplace smoothing
Requirements and dependencies:
1. numpy
2. sklearn.model_selection ---> train_test_split
3. nltk
4. nltk.corpus--->stopwords
5. nltk.download('stopwords')
6. re
7. pandas
8. string
9. sklearn.metrics--->classification_report
10. itertools
Dataset:
1.Download the Ford Sentence classification dataset from 'https://www.kaggle.com/datasets/gaveshjain/ford-sentence-classifiaction-dataset?resource=download'
2.Place train_data.csv in the working directory