Domain Independent Sentiment Analysis


Tuesday, March 1, 2011, 11:00am - Tuesday, March 1, 2011, 12:15pm

ITE 325 - B

learning, natural language processing, sentiment, text classification

Domain independent sentiment signals are words or word pairs that are present and have the same sentimental orientation in multiple domains. These words can be easily identified if you have an accurate representation of their in-domain sentimental orientation. If you also have an accurate representation of their sentimental strength then you can use them to correctly classify out of domain documents with reasonable accuracy. In this talk I will present a method to identify domain independent sentiment signal words using multiple domains. My evaluation shows that these results are much better than current techniques and even better than establish bigram baselines.

Tim Finin

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