A Gold Standard for Emotion Annotation in Stack Overflow
This addresses the need for reliable emotion annotation in developer communications, but it is incremental as it builds on existing sentiment analysis trends without introducing new methods.
The authors tackled the lack of a standardized dataset for emotion analysis in software development by releasing a manually annotated dataset of 4,800 Stack Overflow posts, providing a resource to support research in this area.
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.