Research of Attribute Word Extraction Method in Chinese Product Comment
XU Ye-qiang · Jisuanji gongcheng · 2011
Aiming at solving problems of relatively low precision,rate of coverage when using existing attribute word extraction methods,this paper adopts Baidu Baike and co-occurrence proportion of adjacent words after word segmentation to identify new domain words,decreases impact on recognition of attribute word caused by segmentation errors.This paper designs part of speech sequence templates which contain noun and noun phrase templates,verb and verb phrase templates to obtain attribute word candidates from Chinese product comments,then utilizes statistical technique and natural language processing technique to filter attribute word candidates.Experimental results show that for the 3 623 mobile phone comments,this method obtains 1 732 attribute words,the precision,recall and f-measure reach 0.565,0.726 and 0.636,and it has good extraction performance.