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🎬 Binary Sentiment Analysis on the IMDB 50K dataset. A classic NLP pipeline utilizing NLTK for preprocessing, TF-IDF for vectorization, and Logistic Regression for high-accuracy text classification.

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Sentiment Analysis of IMDB Movie Reviews 🎬

This project uses Natural Language Processing (NLP) and Machine Learning to classify IMDB movie reviews as positive or negative.

Features

  • Preprocessing and cleaning text
  • TF-IDF vectorization
  • Logistic Regression classifier
  • Accuracy and confusion matrix evaluation

Tools

  • Python
  • Pandas, Scikit-learn, NLTK

link dataset: https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews

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🎬 Binary Sentiment Analysis on the IMDB 50K dataset. A classic NLP pipeline utilizing NLTK for preprocessing, TF-IDF for vectorization, and Logistic Regression for high-accuracy text classification.

Topics

nlp machine-learning sentiment-analysis text-classification scikit-learn pandas imdb python3 nltk supervised-learning logistic-regression tfidf movie-reviews-analysis

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