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ICDIM
2009
IEEE

Are SentiWordNet scores suited for multi-domain sentiment classification?

8 years 4 months ago
Are SentiWordNet scores suited for multi-domain sentiment classification?
Motivated by the numerous applications of analysing opinions in multi-domain scenarios, this paper studies the potential of a still rarely considered approach to the problem of multi-domain sentiment analysis based on SentiWordNet as lexical resource. SentiWordNet scores are exploited together with additional features to assign a polarity to a text using machine learning. On the other hand, a rule-based approach is studied based on sentiment scores. The introduced methods are tested on single domains of a real-world data set consisting of documents in six different domains, but also in cross-domain settings. The results show that for cross-domain sentiment analysis rulebased approaches with fix opinion lexica are unsuited. For machine-learning based sentiment classification a mixture of documents of different domains achieves good results.
Kerstin Denecke
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where ICDIM
Authors Kerstin Denecke
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