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2008
IEEE

Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment

10 years 3 months ago
Sentiment Regression: Using Real-Valued Scores to Summarize Overall Document Sentiment
In this paper, we consider a sentiment regression problem: summarizing the overall sentiment of a review with a real-valued score. Empirical results on a set of labeled reviews show that real-valued sentiment modeling is feasible, as several algorithms improve upon baseline performance. We also analyze performance as the granularity of the classification problem moves from two-class (positive vs. negative) towards infinite-class (real-valued).
Adam Drake, Eric K. Ringger, Dan Ventura
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where SEMCO
Authors Adam Drake, Eric K. Ringger, Dan Ventura
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