MEME - Toward a Method for EMotions Extraction from GitHub

摘要

Software engineering researchers are increasingly interested in the role of emotion during software development. While general tools are available to extract emotions from textual data, these perform poorly in the domain of software engineering. Hence, this paper develops MEME - a Method for EMotion Extraction. Using GHtorrent and GitHub as data sources, the paper presents an implementation of the method. The evaluation results suggest a better performance of MEME in contrast to Syuzhet R package emotion analysis.