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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Phong Minh Vu Tam The Nguyen Hung Viet Pham Tung Thanh Nguyen |
| Copyright Year | 2015 |
| Description | Author affiliation: Comput. Sci. Dept., Utah State Univ., Logan, UT, USA (Phong Minh Vu; Tam The Nguyen; Hung Viet Pham; Tung Thanh Nguyen) |
| Abstract | User reviews of mobile apps often contain complaints or suggestions which are valuable for app developers to improve user experience and satisfaction. However, due to the large volume and noisy-nature of those reviews, manually analyzing them for useful opinions is inherently challenging. To address this problem, we propose MARK, a keyword-based framework for semi-automated review analysis. MARK allows an analyst describing his interests in one or some mobile apps by a set of keywords. It then finds and lists the reviews most relevant to those keywords for further analysis. It can also draw the trends over time of those keywords and detect their sudden changes, which might indicate the occurrences of serious issues. To help analysts describe their interests more effectively, MARK can automatically extract keywords from raw reviews and rank them by their associations with negative reviews. In addition, based on a vector-based semantic representation of keywords, MARK can divide a large set of keywords into more cohesive subsets, or suggest keywords similar to the selected ones. |
| Starting Page | 749 |
| Ending Page | 759 |
| File Size | 287598 |
| Page Count | 11 |
| File Format | |
| e-ISBN | 9781509000258 |
| DOI | 10.1109/ASE.2015.85 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-11-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Batteries Mobile communication Dictionaries Energy consumption Data mining Facebook Keyword Opinion Mining Review Analysis |
| Content Type | Text |
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