Werder, Karl ORCID: 0000-0001-8481-1596 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:
CreatorsEmailORCIDORCID Put Code
Werder, KarlUNSPECIFIEDorcid.org/0000-0001-8481-1596UNSPECIFIED
Brinkkemper, SjaakUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-98841
DOI: 10.1145/3194932.3194941
Title of Book: 2018 ACM/IEEE 3rd International Workshop on Emotion Awareness in Software Engineering : SEmotion 2018 : 2 June 2018, Gothenburg, Sweden : proceedings
Page Range: pp. 20-24
Date: June 2018
Publisher: IEEE
Place of Publication: Piscataway, NJ
ISBN: 9781450357517
Language: English
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Weitere Institute, Arbeits- und Forschungsgruppen > Cologne Institute for Information Systems (CIIS)
Faculty of Management, Economics and Social Sciences > Business Administration > Information Systems > Professur für Wirtschaftsinformatik und Systementwicklung
Subjects: Library and information sciences
Social sciences
Technology (Applied sciences)
Event Type: Workshop
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/9884

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