A Gold Standard for Emotion Annotation in Stack Overflow
Not on the map. Why?
Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 Mar 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 0; 2023: 0; 2024: 1; 2025: 1.
4 papers.
- 2021An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasetscited by 3
- 2024Predicting Emotion Intensity in Polish Political Texts: Comparing Supervised Models and Large Language Models in a Resource-Poor Languagecited by 1
- 2021Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?cited by 0
- 2025Sentiment Analysis in Software Engineering: Evaluating Generative Pre-trained Transformerscited by 0
- 2025Sentiment Analysis in Software Engineering: Evaluating Generative Pre-trained Transformers22 Apr 2025
- 2024Predicting Emotion Intensity in Polish Political Texts: Comparing Supervised Models and Large Language Models in a Resource-Poor Language16 Jul 2024
- 2021An Empirical Study of the Effectiveness of an Ensemble of Stand-alone Sentiment Detection Tools for Software Engineering Datasets4 Nov 2021
- 2021Using Personality Detection Tools for Software Engineering Research: How Far Can We Go?11 Oct 2021