Werder, Karl and Brinkkemper, Sjaak (2018). MEME: Toward a Method for Emotions Extraction from Github. In: 2018 ACM/IEEE 3rd International Workshop on Emotion Awareness in Software Engineering : SEmotion 2018 : 2 June 2018, Gothenburg, Sweden : proceedings, pp. 20-24. Piscataway, NJ: IEEE. ISBN 9781450357517

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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.

Item Type: Book Section, Proceedings Item or annotation in a legal commentary
Creators:
CreatorsEmailORCID
Werder, KarlUNSPECIFIEDUNSPECIFIED
Brinkkemper, SjaakUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-98841
DOI: 10.1145/3194932.3194941
Publisher: IEEE
ISBN: 9781450357517
Subjects: Library and information sciences
Social sciences
Technology (Applied sciences)
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Faculty of Management, Economy and Social Sciences > Cologne Institute for Information Systems (CIIS)
Faculty of Management, Economy and Social Sciences > Department of Information Systems and Systems Development
Language: English
Date: June 2018
Event Type: Workshop
Place of Publication: Piscataway, NJ
Refereed: Yes
Page Range: pp. 20-24
Title of Book: 2018 ACM/IEEE 3rd International Workshop on Emotion Awareness in Software Engineering : SEmotion 2018 : 2 June 2018, Gothenburg, Sweden : proceedings
URI: http://kups.ub.uni-koeln.de/id/eprint/9884

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