Automated user reviews analyser

Adelina Ciurumelea, Sebastiano Panichella, H. Gall
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引用次数: 14

Abstract

We present a novel tool, AUREA, that automatically classifies mobile app reviews, filters and facilitates their analysis using fine grained mobile specific topics. We aim to help developers analyse the direct and valuable feedback that users provide through their reviews, in order to better plan maintenance and evolution activities for their apps. Reviews are often difficult to analyse because of their unstructured textual nature and their frequency, moreover only a third of them are informative. We believe that by using our tool, developers can reduce the amount of time required to analyse and understand the issues users encounter and plan appropriate change tasks.
自动用户评论分析器
我们提出了一种新颖的工具,AUREA,它可以自动分类移动应用评论,过滤并使用细粒度的移动特定主题进行分析。我们的目标是帮助开发者分析用户通过评论提供的直接而有价值的反馈,以便更好地计划应用的维护和发展活动。由于评论是非结构化的文本性质和频率,它们通常很难分析,而且只有三分之一的评论是有信息的。我们相信,通过使用我们的工具,开发人员可以减少分析和理解用户遇到的问题以及计划适当的变更任务所需的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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