Extraction of Subjective Relation in Opinion Sentences Based on Maximum Entropy Model
Zhao Yu · Jisuanji gongcheng · 2010
This paper presents a novel method of extracting subjective relation between opinion targets and opinion-bearing words in Chinese opinion sentences. This method analyzes lexical and part of speech information in the sentence. Syntactic analyzing is adopted to achieve syntactic path information which is regerded as semantic feature. The two kinds of feature are both applied in maximum entropy model. According to this model,all subjective relations in the sentence are extracted. Experimental results show that this method is better than Baseline method in precision rate and F-measure.