MEME: toward a method for emotions extraction from github

Karl Werder; Sjaak Brinkkemper

doi:10.1145/3194932.3194941

MEME: toward a method for emotions extraction from github

Karl Werder
, Sjaak Brinkkemper

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering, SEmotion@ICSE 2018, Gothenburg, Sweden, June 2, 2018
Publisher	Association for Computing Machinery
Pages	20-24
Number of pages	5
DOIs	https://doi.org/10.1145/3194932.3194941
Publication status	Published - 2018

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10.1145/3194932.3194941

3194932.3194941Final published version, 564 KBLicence: Taverne

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@inproceedings{93e7c60b7c9a46d6bd88163b0abb6c56,

title = "MEME: toward a method for emotions extraction from github",

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.",

author = "Karl Werder and Sjaak Brinkkemper",

year = "2018",

doi = "10.1145/3194932.3194941",

language = "English",

pages = "20--24",

booktitle = "Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering, SEmotion@ICSE 2018, Gothenburg, Sweden, June 2, 2018",

publisher = "Association for Computing Machinery",

}

MEME: toward a method for emotions extraction from github. / Werder, Karl; Brinkkemper, Sjaak.
Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering, SEmotion@ICSE 2018, Gothenburg, Sweden, June 2, 2018. Association for Computing Machinery, 2018. p. 20-24.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Brinkkemper, Sjaak

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AB - 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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DO - 10.1145/3194932.3194941

M3 - Conference contribution

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BT - Proceedings of the 3rd International Workshop on Emotion Awareness in Software Engineering, SEmotion@ICSE 2018, Gothenburg, Sweden, June 2, 2018

PB - Association for Computing Machinery

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MEME: toward a method for emotions extraction from github

Abstract

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