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Sentiment classification of IMDb movie reviews / Deep Learning for Natural Language Processing

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IMDb Sentiment Analysis

Training and evaluating sentiment classifiers in IMDb movie reviews.

The training data imdb-reviews.csv is consisted of reviews and their corresponding ratings, ranging from 0 to 10. Each model is trained to classify reviews as 'positive' (score > 6) or 'negative' (score < 5).

  • Logistic Regression Classifier
  • Feed Forward Neural Network
  • Recurrent Neural Network
  • BERT

The development & fine-tuning of each classifier was given as assignment for class ΥΣ19 Artificial Intelligence II (Deep Learning for Natural Language Processing). In the descriptions folder you can find the original assignment descriptions.

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