Abstract：Opinion target is an important component of sentiment information in sentiment analysis. This paper explores Conditional Random Fileds (CRFs) based opinion target extraction. After employing frequently used features in sentiment extraction, we summarize all the features into four categories, i.e. lexical, dependency, relative-position and semantic. More importantly, we propose using semantic role as a specific feature. Great efforts and detailed comparative studies have been made to evaluate the performance by exploring various features and their combination. Experimental results show that semantic role is a good indicator for opinion target. Key wordssentiment analysis; opinion target extraction; the combination of features; semantic role labeling
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2012, Vol. 26 
