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Emotion-based analysis of programming languages on Stack Overflow
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DOI：10.1016/j.icte.2020.07.002.png)
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摘要
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When developing a software engineering project, selecting the most appropriate programming language is a crucial step. Most often, feeling at ease with the possible options becomes almost as relevant as the technical features of the language. Therefore, it appears to be worth analyzing the role that the emotional component plays in this process. In this article, we analyze the trend of the emotions expressed by developers in 2018 on the Stack Overflow platform in posts concerning 26 programming languages. To do so, we propose a learning model trained by distant supervision and the comparison of two different classifier architectures. (C) 2020 The Korean Institute of Communications and Information Sciences (KICS). Publishing services by Elsevier B.V.
Keyword:
Programming languages
Emotion detection
Machine learning
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4.2
论文数:
998
被引数:
2.5K
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