Opinion Analysis and Organization of Mobile Application User Reviews
Opinion Analysis and Organization of Mobile Application User Reviews
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发表时间：
2020
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通讯作者：
Long Wang;Hiroyuki Nakagawa;Tatsuhiro Tsuchiya
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作者：
Long Wang;Hiroyuki Nakagawa;Tatsuhiro Tsuchiya
User reviews play a vital role in mobile application development. New users can grasp the pros and cons of an app from user reviews, and developers can improve the app by addressing the issues mentioned in the user reviews. However, scanning and analyzing massive user reviews is always a challenging and time-consuming task for both users and developers. This paper proposes a solution to build a tool for analyzing and organizing user reviews. To analyze user reviews, we classify the sentences in the reviews into predefined categories by using a machine learning algorithm; then, we apply text classification techniques to determine the review sentence’s polarity and finally to mine key phrases from the sentences. We conducted an experiment using user reviews for two messaging apps. The experimental results demonstrate that we can organize the core information of each review and present the information to users and developers in respectively different ways.
