Sentiment Analysis of Commit Comments in GitHub: An Empirical Study

TitleSentiment Analysis of Commit Comments in GitHub: An Empirical Study
Publication TypeConference Paper
Year of Publication2014
AuthorsGuzman, Emitza, Azócar David, and Li Yang
Secondary TitleProceedings of the 11th Working Conference on Mining Software Repositories
Pagination352–355
PublisherACM
Place PublishedNew York, NY, USA
ISBN Number978-1-4503-2863-0
KeywordsHuman Factors in Software Engineering, mining challenge, msr challenge, sentiment analysis
Abstract

Emotions have a high impact in productivity, task quality, creativity, group rapport and job satisfaction. In this work we use lexical sentiment analysis to study emotions expressed in commit comments of different open source projects and analyze their relationship with different factors such as used programming language, time and day of the week in which the commit was made, team distribution and project approval. Our results show that projects developed in Java tend to have more negative commit comments, and that projects that have more distributed teams tend to have a higher positive polarity in their emotional content. Additionally, we found that commit comments written on Mondays tend to a more negative emotion. While our results need to be confirmed by a more representative sample they are an initial step into the study of emotions and related factors in open source projects.

URLhttp://doi.acm.org/10.1145/2597073.2597118
DOI10.1145/2597073.2597118