Computer Science ›› 2017, Vol. 44 ›› Issue (11): 181-186.doi: 10.11896/j.issn.1002-137X.2017.11.027

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Analytical Method for APP Software’s User Comment Patterns

RAN Meng and JIANG Ying   

  • Online:2018-12-01 Published:2018-12-01

Abstract: 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.

Key words: APP software,User’s comment information,Feature classify,Combination of part-of-speech,Commentpatterns

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