Product Feature Extraction Based on Weakly Supervised Learning
Huang Yong-wen · Jisuanji gongcheng · 2009
The mining of product reviews is the process of extracting information in reviews which is expressed by natural language, the extraction of product feature is the first phrase of the mining of product reviews.The quality of product feature decides the quality of subsequent phrases.This paper adopts weakly supervised methods, which just need a hand of product features as the seeds, using the occurrence sentences of seed to extract text patterns, and using the text patterns to find new product features.Experimental results show that it can extract product feature from English plain text and receive good result.