Method of Consistency Judgment for App Software’s User Comments

  • Meng Ran
  • Ying JiangEmail author
  • Qixin Xiang
  • Jiaman Ding
  • Haitao Wang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 623)


With the popularity of mobile intelligent terminal, user comments of App software is viewed as one of the research interests of social computing. Faced with the massive App software, most users usually view the other users’ comments and marks to selecting the desired App software. Due to the freedom and randomness of the network comments, the inconsistence between the user’s comment and mark makes it difficult to choose App software. This paper presents a method by analyzing the relationships among user’s comment information, the user’s mark and App software information. Firstly, the consistency between user’s comment information and App software information is judged. Then, through analyzing the grammar relationships among the feature-words, adverbs and the feature-sentiment-words in App software’s feature-sentiment-word-pairs, the user’s emotional tendency about App software is quantified combining with the dictionary and the network sentiment words. After calculating the user’s comprehensive score of App software, the consistency of App software’s user comment is judged by comparing this score and the user’s mark. Finally, the experimental results show that the method is effective.


Social computing App software The consistency of user comment User’s comment information User’s mark Feature-sentiment-word-pairs Network sentiment word 



This research is sponsored by the National Science Foundation of China No. 60703116, 61063006 and 61462049, and the Application Basic Research Plan in Yunnan Province of China No. 2013FZ020.


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Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Meng Ran
    • 1
    • 2
  • Ying Jiang
    • 1
    • 2
    Email author
  • Qixin Xiang
    • 1
    • 2
  • Jiaman Ding
    • 1
    • 2
  • Haitao Wang
    • 1
    • 2
  1. 1.Yunnan Key Lab of Computer Technology ApplicationKunmingChina
  2. 2.Faculty of Information Engineering and AutomationKunming University of Science and TechnologyKunmingChina

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