面向软件工程研究的情感分析基准研究

2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) Pub Date : 2018-03-17 DOI:10.1145/3196398.3196403

Nicole Novielli, Daniela Girardi, F. Lanubile

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引用次数: 96

摘要

最近出现了一种研究趋势，通过将情感分析应用于协作开发环境中留下的交流痕迹的内容来识别开发人员的情感。为了克服使用现成的情感分析工具所带来的局限性，研究人员最近开始为软件工程领域开发自己的工具。在本文中，我们报告了一项基准研究，以评估为软件工程专门定制的三种情感分析工具的性能和可靠性。此外，我们还提供了对公开挑战的反思，因为它们来自对错误分类文本的定性分析。

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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A Benchmark Study on Sentiment Analysis for Software Engineering Research

A recent research trend has emerged to identify developers' emotions, by applying sentiment analysis to the content of communication traces left in collaborative development environments. Trying to overcome the limitations posed by using off-the-shelf sentiment analysis tools, researchers recently started to develop their own tools for the software engineering domain. In this paper, we report a benchmark study to assess the performance and reliability of three sentiment analysis tools specifically customized for software engineering. Furthermore, we offer a reflection on the open challenges, as they emerge from a qualitative analysis of misclassified texts.

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来源期刊

2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR)

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