The Emotion Mining Toolkit (EMTk) is a suite of modules and datasets offering a comprehensive solution for mining sentiment and emotions from technical text contributed by developers on communication channels. The toolkit is written in Java, Python, and R, and is released under the MIT open source license. In this paper, we describe its architecture and the benchmark against the previous, standalone versions of our sentiment analysis tools. Results show large improvements in terms of speed.
@article{arxiv.1903.09525,
title = {EMTk -- The Emotion Mining Toolkit},
author = {Fabio Calefato and Filippo Lanubile and Nicole Novielli and Luigi Quaranta},
journal= {arXiv preprint arXiv:1903.09525},
year = {2021}
}
Comments
Proceedings of the 4th International Workshop on Emotion Awareness in Software Engineering (SEmotion '19), May 2019, pp. 34-37