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MEME: toward a method for emotions extraction from github

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3194932.3194941.pdf (564.39 KB)

Publication date

2018

Authors

Werder, Karl
Brinkkemper, SjaakISNI 0000000374861981

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DOI

https://doi.org/10.1145/3194932.3194941

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taverne

Abstract

Software engineering researchers are increasingly interested in the role of emotion during software development. While general tools are available to extract emotions from textual data, these perform poorly in the domain of software engineering. Hence, this paper develops MEME - a Method for EMotion Extraction. Using GHtorrent and GitHub as data sources, the paper presents an implementation of the method. The evaluation results suggest a better performance of MEME in contrast to Syuzhet R package emotion analysis.

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Citation

Werder, K & Brinkkemper, S 2018, MEME: toward a method for emotions extraction from github. in Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering, SEmotion@ICSE 2018, Gothenburg, Sweden, June 2, 2018. Association for Computing Machinery, pp. 20-24. https://doi.org/10.1145/3194932.3194941

URI

https://dspace.library.uu.nl/handle/1874/481390