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CIKM
2005
Springer

Using appraisal groups for sentiment analysis

13 years 9 months ago
Using appraisal groups for sentiment analysis
Little work to date in sentiment analysis (classifying texts by ‘positive’ or ‘negative’ orientation) has attempted to use fine-grained semantic distinctions in features used for classification. We present a new method for sentiment classification based on extracting and analyzing appraisal groups such as “very good” or “not terribly funny”. An appraisal group is represented as a set of attribute values in several task-independent semantic taxonomies, based on Appraisal Theory. Semi-automated methods were used to build a lexicon of appraising adjectives and their modifiers. We classify movie reviews using features based upon these taxonomies combined with standard “bag-of-words” features, and report state-of-the-art accuracy of 90.2%. In addition, we find that some types of appraisal appear to be more significant for sentiment classification than others. Categories and Subject Descriptors I.2.7 [Artificial Intelligence]: Natural Language Processing—Text a...
Casey Whitelaw, Navendu Garg, Shlomo Argamon
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where CIKM
Authors Casey Whitelaw, Navendu Garg, Shlomo Argamon
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