Tool Support for Analyzing Mobile App Reviews

被引：9

作者：

Phong Minh Vu ^{[1
]}

Hung Viet Pham ^{[1
]}

Tam The Nguyen ^{[1
]}

Tung Thanh Nguyen ^{[1
]}

机构：

[1] Utah State Univ, Dept Comp Sci, Logan, UT 84322 USA

来源：

2015 30TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE) | 2015年

关键词：

App Review; Opinion Mining; Keyword;

D O I：

10.1109/ASE.2015.101

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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 noisy-nature. 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.

引用

页码：789 / 794

页数：6

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