A gold standard for emotion annotation in stack overflow

Software developers experience and share a wide range of emotions throughout a rich ecosystem of communication channels. A recent trend that has emerged in empirical software engineering studies is leveraging sentiment analysis of developers' communication traces. We release a dataset of 4,800...

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Bibliographic Details
Published in2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) pp. 14 - 17
Main Authors Novielli, Nicole, Calefato, Fabio, Lanubile, Filippo
Format Conference Proceeding
LanguageEnglish
Published New York, NY, USA ACM 28.05.2018
SeriesACM Conferences
Subjects
Communication Channels
Data mining
Emotion Mining
Gold
Information systems > Information retrieval > Retrieval tasks and goals
Information systems > Information retrieval > Retrieval tasks and goals > Sentiment analysis
Sentiment analysis
Social Software Engineering
Software
Software and its engineering > Software creation and management > Collaboration in software development
Software engineering
Stack Overflow
social software engineering
stack overflow
emotion mining
sentiment analysis
communication channels
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ISBN9781450357166
1450357164
ISSN2574-3864
DOI10.1145/3196398.3196453

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Summary:Software developers experience and share a wide range of emotions throughout a rich ecosystem of communication channels. A recent trend that has emerged in empirical software engineering studies is leveraging sentiment analysis of developers' communication traces. We release a dataset of 4,800 questions, answers, and comments from Stack Overflow, manually annotated for emotions. Our dataset contributes to the building of a shared corpus of annotated resources to support research on emotion awareness in software development.
ISBN:9781450357166
1450357164
ISSN:2574-3864
DOI:10.1145/3196398.3196453