Sentiment Analysis on Reviews of Mobile Users | Zendy

Zhang Li | Zendy; Kun Hua | Zendy; Honggang Wang | Zendy; Guanqun Qian | Zendy; Li Zhang | Zendy

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Sentiment Analysis on Reviews of Mobile Users

Author(s) -

Zhang Li,

Kun Hua,

Honggang Wang,

Guanqun Qian,

Li Zhang

Publication year - 2014

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2014.07.013

Subject(s) - computer science , polarity (international relations) , feature (linguistics) , mobile device , cloud computing , the internet , service (business) , data mining , data science , world wide web , linguistics , philosophy , genetics , economy , cell , economics , biology , operating system

In recent years, the dramatic increase of smartphone and tablet applications has allowed users to comment on various service platforms at any time through mobile internet, social media, cloud computing, and etc. While unfortunately, up to now, very few studies of classification methods have been applied in such area. In this paper, we concluded the following unique characteristics through more than 1,400,000 real mobile application reviews: (1) Short average length; (2) Large span of length; (3) Power-law distribution and (4) Significant difference in polarity. Based on above mentioned characteristics, a series of comparative experiments have been done for emotion classifications through classification algorithms, feature representations and review length, respectively

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