Dataset Open Access
Fabio Calefato;
Filippo Lanubile;
Nicole Novielli
Description
Datasets for sentiment analysis and emotion mining, distributed with the Emotion Mining Toolkit (EMTk) Docker container (see https://collab-uniba.github.io/EMTk for more):
Citation
Please, see the references below for the papers to cite. Do not cite this Zenodo upload directly.
Name | Size | |
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collab-uniba/EMTK_datasets-v1.0.zip
md5:51b7fb54a317e454b8854b7b944ec4b0 |
1.8 MB | Download |
F. Calefato, F. Lanubile, and N. Novielli (2017) "Sentiment Polarity Detection for Software Development." Empirical Software Engineering Journal, DOI: 10.1007/s10664-017-9546-9.
F. Calefato, F. Lanubile, N. Novielli (2017) "EmoTxt: A Toolkit for Emotion Recognition from Text." In Proc. 7th Affective Computing and Intelligent Interaction (ACII'17), San Antonio, TX, USA, Oct. 23-26, 2017.
N. Novielli, F. Calefato, F. Lanubile (2018) "A Gold Standard for Emotions Annotation in Stack Overflow." In Proc. of the 15th International Conference on Mining Software Repositories (MSR 2018), Gothenburg, Sweden, May 28-29, 2018.
M. Ortu, A. Murgia, G. Destefanis, P. Tourani, R. Tonelli, M. Marchesi, and B. Adams. 2016. The emotional side of software developers in JIRA. In Proc. of the 13th Int'l Conf. on Mining Software Repositories (MSR '16). ACM, New York, NY, USA, 480-483.
All versions | This version | |
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Views | 1,296 | 1,295 |
Downloads | 283 | 283 |
Data volume | 516.2 MB | 516.2 MB |
Unique views | 1,178 | 1,177 |
Unique downloads | 271 | 271 |