A Gold Standard for Emotion Annotation in Stack Overflow
Software Engineering
2018-03-07 v1
Abstract
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.
Keywords
Cite
@article{arxiv.1803.02300,
title = {A Gold Standard for Emotion Annotation in Stack Overflow},
author = {Nicole Novielli and Fabio Calefato and Filippo Lanubile},
journal= {arXiv preprint arXiv:1803.02300},
year = {2018}
}
Comments
To appear in Proceedings of the 15th International Conference on Mining Software Repositories (MSR '18) Data Showcase Track, 28-29 May, Gothenburg, Sweden