WISE 2014: Web Information Systems Engineering – WISE 2014 pp 357-371 | Cite as
Identifying Explicit Features for Sentiment Analysis in Consumer Reviews
Conference paper
Abstract
With the number of reviews growing every day, it has become more important for both consumers and producers to gather the information that these reviews contain in an effective way. For this, a well performing feature extraction method is needed. In this paper we focus on detecting explicit features. For this purpose, we use grammatical relations between words in combination with baseline statistics of words as found in the review text. Compared to three investigated existing methods for explicit feature detection, our method significantly improves the F 1-measure on three publicly available data sets.
Keywords
Noun Phrase Sentiment Analysis English Text Feature Candidate Grammatical Structure
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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