IMDB Sentiment Classification

Early practice notebook for binary sentiment classification on the IMDB reviews dataset using Keras.

The notebook loads the top 10,000 words, pads sequences, and trains a baseline model. Accuracy is still modest — this repo documents the first iteration before tuning embeddings and architecture.

Files

• IMDBDataset.ipynb — data loading, preprocessing, and model training

Setup

pip install -r requirements.txt
jupyter notebook IMDBDataset.ipynb

Notes

• Vocabulary capped at 10,000 words (num_words=10000)
• Intended as a learning exercise, not production-ready
• See requirements.txt for pinned dependency versions
• Keras IMDB data is downloaded automatically on first notebook run