🎬 IMDB Movie Review Sentiment Classifier 🚀

Hey there! 👋

This is my latest NLP & ML project on IMDB movie review sentiment classification. Over the past three weeks, I added new features in VS Code like topic modeling and gradient boosting to boost accuracy and deepen insights.

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📝 What’s inside?

• Text cleaning & preprocessing
• Sentiment polarity & subjectivity from TextBlob ✨
• TF-IDF vectorization + topic modeling (LDA)
• Logistic Regression & Gradient Boosting models
• Confusion matrix & feature importance visualization

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📂 Dataset

Using IMDB Dataset of 50K Movie Reviews from Kaggle.

Please download and place IMDB Dataset.csv inside the data/ folder before running.

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🚀 Quick start

Just run:

python src/imdb_sentiment_classification.py

Make sure you have installed the required Python packages (pandas, numpy, nltk, matplotlib, seaborn, scikit-learn, textblob).

💡 What I learned

Combining classic NLP with modern ML, exploring topic modeling, and improving model interpretability.

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🙏 Thanks for stopping by!

Feel free to ⭐ or reach out to chat about NLP, ML, or movies!

Keep coding, keep growing. 🚀💻