摘要
面对海量的APP软件,不同用户对其评论的侧重点、表达方式以及情感倾向程度等都不相同,这给APP软件的用户行为分析和质量评价带来了困难。提出一种APP软件用户评论模式分析方法,首先综合分析用户评论信息与APP软件信息之间的关系,根据用户对APP软件的评论特征将用户评论信息进行分类;接着分析每类用户评论信息的词性组合;然后计算用户评论信息的情感倾向程度,以分析出该APP软件用户的评论模式;最后通过实验验证了该方法的有效性。
Faced with the massive user＇s comment of APP software,there are different results of comment focus,expression style and emotional tendency for different users.These differences bring difficulties to the user behavior analysis and the quality evaluation of the APP software.This paper presented a method to analyze APP software＇s user comment patterns.At first,the relationships between user＇s comment information and APP software information are analyzed.The user＇s comment information is classified based on the comment feature of APP software.Then the combination of part-of-speech for each type of user＇s comment information is analyzed.After calculating the emotional tendency degree of user＇s comment information,the user＇s comment patterns are analyzed.Finally,the experimental results show that the method is effective.
出处
《计算机科学》
CSCD
北大核心
2017年第11期181-186,共6页
Computer Science
基金
国家自然科学基金(61462049
61063006
60703116)资助
关键词
APP软件
用户评论信息
特征分类
词性组合
评论模式
APP software , User＇ s comment information , Feature classify , Combination of part-of-speech , Comment patterns
