Python tutorials as Jupyter Notebooks for NLP, ML, AI
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Updated
Sep 25, 2024 - Jupyter Notebook
Python tutorials as Jupyter Notebooks for NLP, ML, AI
This Jupyter Notebook implements a tool to check whether two sentences are paraphrases by analyzing their semantic similarity using NLP techniques. It provides a similarity score and a binary decision to indicate if the sentences are paraphrases.
This repository contains a Jupyter Notebook that demonstrates the implementation of Support Vector Machines (SVM) for spam detection. The notebook includes data preprocessing, feature extraction, training the SVM model, and evaluating its performance.
This repository contains a Jupyter Notebook for analyzing Twitter data. The notebook demonstrates how to extract, process, and visualize tweets using various Python libraries.
This repository contains Jupyter notebooks on various NLP techniques, including text processing, classification, sentiment analysis, and topic modeling.
It includes steps such as text pre-processing, document indexing, and query processing using the NLTK library and other NLP tools in the Jupyter Notebook environment. The Cranfield collection was used in the project.
Welcome to Word.NLP! This is a simple Natural Language Processing project made using a .txt notebook file which contains the majority of words in the English Language.
The hands-on NLTK tutorial for NLP in Python
Personal machine learning projects. (jupyter notebooks, python scripts, KNIME, SQL, scrapers etc, & R for Structural Equation Modelling on UX/CSat)
Explore NLP tasks with Python using NLTK, SpaCy & scikit-learn: Tokenization, Normalization, NER, POS tagging, Encoding, Word embedding.
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
A Jupyter notebook analyzing the major reasons for Tesla order cancellation and how Elon Musk's tweets correlate with order cancellation.
NLP notebooks
This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.
Online plagiarism checker scrapes the markdown text from submitted notebook link, searches the text on Google for possible matching notebook links on Jovian, Kaggle & Github sites, and returns the notebook links that contain the text.
Estudo sobre análise e processamento de linguagem natural usando a biblioteca NLTK
Classifier that identifies Greek text as Cypriot Greek or Standard Modern Greek
tool or algorithm that aims to condense a longer piece of text into a shorter, concise summary while preserving the key information and main points
🤖💻This repository showcases a comprehensive Natural Language Processing (NLP) pipeline implemented in Python using Jupyter notebooks. The pipeline deploys various machine learning techniques to classify labeled dataset. The pipeline employs comparisons of the dataset using Recurrent Neural Network (RNN) and RandomForest Classifier algorithms.
Jupyter notebook, where I use nlp and practice regex
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