Research on Extraction for Feature Words from Chinese Product Comments
ISDEA '10 Proceedings of the 2010 International Conference on Intelligent System Design and Engineering Application - Volume 02（2011）
摘要
This paper firstly uses Baidu Baike and co-occurrence proportion of adjacent words after sentence segmentation to identify new words to decreases the effect on recognition of feature because of segmentation errors. We design part of speech sequence patterns to obtain candidate feature word set from Chinese product comments, then utilize a series of effective statistical technique and natural language processing technique to filter candidate feature words. The experiment results show our approaches are promising.
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关键词
feature words,baidu baike,sentence segmentation,adjacent word,natural language processing technique,candidate feature word,effective statistical technique,experiment result,segmentation error,chinese product comments,co-occurrence proportion,chinese product comment,electronic commerce,part of speech,extraction,dictionaries,business,speech recognition,statistical analysis,feature extraction,data mining,natural language processing
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