ISCAS OpenIR
基于评论挖掘的软件评价系统
Alternative TitleA SOFTWARE EVALUATION SYSTEM BASED ON REVIEWS MINING
卢忠浩; 杨达; 李娟
2014
Source计算机应用与软件
ISSN1000-386X
Volume31Issue:7Pages:1-4,85
English 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.
Indexed TypeCSCD
AbstractWe 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.
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
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
Language中文
CSCD IDCSCD:5193277
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/16724
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
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,2014,31(7):1-4,85.
APA 卢忠浩,杨达,&李娟.(2014).基于评论挖掘的软件评价系统.计算机应用与软件,31(7),1-4,85.
MLA 卢忠浩,et al."基于评论挖掘的软件评价系统".计算机应用与软件 31.7(2014):1-4,85.
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