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CS583, UIC

CS583, UIC

Sentiment classification

Classify documents (e.g., reviews) based on the overall sentiments expressed by opinion holders (authors),

Positive, negative, and (possibly) neutral

Since in our model an object O itself is also a feature, then sentiment classification essentially determines the opinion expressed on O in each document (e.g., review).

Similar but different from topic-based text classification.

In topic-based text classification, topic words are important.

In sentiment classification, sentiment words are more important, e.g., great, excellent, horrible, bad, worst, etc.

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