Semantic Analysis of Movie Reviews for Rating Prediction

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Semantic Analysis ofMovie Reviews forRating
Prediction

• CS 224N
• Laureen Lam

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Project Overview

• Problem Description
• Applications
• Related Work Thumbs up? Sentiment classification
  using machine learning techniques, by Pang Lee
• Solution Steps
• Data
• Classifier
• Training / Testing with Features
• Results
• Future Work

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Solution Steps

• Data http//www.cs.cornell.edu/people/pabo/movie-
  review-data/
• Polarity Dataset v2.0 ( / - sentiment ratings)
• Scaled Dataset v1.0 (0-, 1-, 2-star ratings)
• Classifier
• Modified MaxEnt
• Training / Testing
• 80 / 20 split of datasets

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Polarity Dataset Results
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Polarity Dataset Results
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Scaled Dataset Results
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Scaled Dataset Results
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Comparison to Pang Lee
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Future Work

• Combine MaxEnt with other classifiers
• Decision Trees
• SVM
• Layer classifiers
• Spread feature sets among MaxEnt classifiers
  (serial or parallel pipeline)
• Use top-level classifier to combine results