Identification of Evaluation Collocation Based on Maximum Entropy Model
In the process of analyzing the orientation of hotel comment, some opinion-bearing words may cause ambiguity. In this paper a method of evaluation collocation identification based on maximum entropy is proposed. This method designed a sentiment word table, mined the category of opinion-bearing words as semantic feature, combined this feature with lexical, part-of-speech, position and negative adverbs to construct a compound template, and then employed maximum entropy model to implement evaluation collocation identification. Experimental results show that the accuracy is higher when using the compound template constructed in this paper to identify evaluation collocation.
KeywordsOrientation Evaluation collocation Maximum entropy Sentiment word table Semantic feature
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