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sentiment-analysis-nltk

Here are 13 public repositories matching this topic...

This project analyzes IMDb movie reviews to classify sentiments as positive or negative. It includes text preprocessing, feature extraction using TF-IDF and CountVectorizer, training Logistic Regression and Naive Bayes classifiers, and visualizing frequent words with WordClouds.

  • Updated Aug 8, 2025
  • Python

This repository is a comprehensive guide to implementing sentiment analysis, a vital NLP technique used to interpret emotions and opinions within text. The goal is to explore key concepts and practical applications, culminating in training robust models for sentiment classification.

  • Updated Dec 6, 2024
  • Jupyter Notebook

Social network analysis and content moderation system that detects harmful content, identifies influencers, and analyzes information spread using graph neural networks and natural language processing.

  • Updated Nov 7, 2025
  • Python

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