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Title:
基于评论挖掘的软件评价系统
Alternative Title: A SOFTWARE EVALUATION SYSTEM BASED ON REVIEWS MINING
Author: 卢忠浩 ; 杨达 ; 李娟
Keyword: 软件评论挖掘 ; 软件评价 ; 软件特征提取 ; 极性分析 ; 软件特征聚类 ; Web系统 ; Software reviews mining ; Software evaluation ; Software feature extraction ; Polarity analysis ; Software feature clustering ; Web system
Source: 计算机应用与软件
Issued Date: 2014
Volume: 31, Issue:7, Pages:1-4,85
Indexed Type: CSCD
Department: 中国科学院软件研究所基础软件国家工程研究中心 北京100190
Abstract: 设计一个Web系统,利用Android电子市场上各个领域的软件评论,对软件进行细致的评价,帮助用户选择适用的软件.首先通过抓取Google play评论建立数据库,利用规则模板提取软件特征和情感词.然后,通过知网与用户常用极性词典判别情感倾向.最后通过特征聚类等方式将软件之间特征级别进行对比与评价,从而把同类软件按特征粒度进行精准排序和选择.
English Abstract: We design a web system,it helps users to choose proper software products by making use of the products reviews in regard to various fields in Android electronic market and to evaluate the products in detail. First it establishes a database by crawling Google play reviews,and then it uses the rule templates to extract product features and the sentiment words. Furthermore,it discriminates the emotional tendencies by the How Net and the users'common polarity dictionary. Finally it compares and evaluates products at features level between the products through features clustering. Thus,it accurately ranks and chooses the similar products by features granularity.
Language: 中文
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Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/16724
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
卢忠浩,杨达,李娟. 基于评论挖掘的软件评价系统[J]. 计算机应用与软件,2014-01-01,31(7):1-4,85.
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