• DocumentCode
    3723042
  • Title

    Tool Support for Analyzing Mobile App Reviews

  • Author

    Phong Minh Vu;Hung Viet Pham;Tam The Nguyen;Tung Thanh Nguyen

  • Author_Institution
    Comput. Sci. Dept., Utah State Univ., Logan, UT, USA
  • fYear
    2015
  • Firstpage
    789
  • Lastpage
    794
  • Abstract
    Mobile app reviews often contain useful user opinions for app developers. However, manual analysis of those reviews is challenging due to their large volume and noisynature. This paper introduces MARK, a supporting tool for review analysis of mobile apps. With MARK, an analyst can describe her interests of one or more apps via a set of keywords. MARK then lists the reviews most relevant to those keywords for further analyses. It can also draw the trends over time of the selected keywords, which might help the analyst to detect sudden changes in the related user reviews. To help the analyst describe her interests more effectively, MARK can automatically extract and rank the keywords by their associations with negative reviews, divide a large set of keywords into more cohesive subgroups, or expand a small set into a broader one.
  • Keywords
    "Facebook","Market research","Batteries","Energy consumption","Mobile communication","Google","Semantics"
  • Publisher
    ieee
  • Conference_Titel
    Automated Software Engineering (ASE), 2015 30th IEEE/ACM International Conference on
  • Type

    conf

  • DOI
    10.1109/ASE.2015.101
  • Filename
    7372068