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Published in:
2014 | OriginalPaper | Chapter
Identifying Explicit Features for Sentiment Analysis in Consumer Reviews
Authors : Nienke de Boer, Marijtje van Leeuwen, Ruud van Luijk, Kim Schouten, Flavius Frasincar, Damir Vandic
Published in: Web Information Systems Engineering – WISE 2014
Publisher: Springer International Publishing
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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
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-measure on three publicly available data sets.