计算机应用研究2017，Vol.34Issue(6)：1636-1639,1658,5.DOI:10.3969/j.issn.1001-3695.2017.06.008
基于加权频繁子树相似度的网页评论信息抽取
Page comments extraction based on weighted similarity of frequent sub-tree
摘要
Abstract
Aiming at the problem that existing methods are time consuming and poor performance,this paper proposed WTS method based on weighted frequent sub-tree similarity,which could extract product comments information rapidly and accurately.Firstly,the method pruned Web pages through visual characteristics.Then,extracted the best frequent sub-tree by depth-weighted similarity measure.Lastly,it extracted comment path and parsed comment content.Extracting product comments from the website of JD,SN and so on,experimental results show that WTS has better performance in extracting product comments than D-EEM and POL.关键词
产品评论/抽取/加权频繁子树Key words
product comments/extraction/weighted frequent sub-tree分类
信息技术与安全科学引用本文复制引用
郝志峰,袁琴,蔡瑞初,温雯,骆魁永..基于加权频繁子树相似度的网页评论信息抽取[J].计算机应用研究,2017,34(6):1636-1639,1658,5.基金项目
NSFC-广东联合基金资助项目(U1501254) （U1501254）
广东省自然科学基金资助项目(2014A030306004,2014A030308008) （2014A030306004,2014A030308008）
广东省科技计划资助项目(2012B01010029,2013B051000076,2015B010108006,2015B010131015) （2012B01010029,2013B051000076,2015B010108006,2015B010131015）
广州市科技计划资助项目(2014Y2-00027) （2014Y2-00027）
国家自然科学基金资助项目(61202269,61472089,61572143,61502108,61502109) （61202269,61472089,61572143,61502108,61502109）
广东特支计划资助项目(2015TQ01X140) （2015TQ01X140）
广州市珠江科技新星资助项目(201610010101) （201610010101）
广东省哲学社科项目(GD14XYJ24) （GD14XYJ24）
