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EMTk - The Emotion Mining Toolkit [article]

Fabio Calefato, Filippo Lanubile, Nicole Novielli, Luigi Quaranta
2019 arXiv   pre-print
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.  ...  TOOLKIT ARCHITECTURE EMTk consists of two modules, one for the mining of polarity and one for emotions.  ... 
arXiv:1903.09525v2 fatcat:ndhvfm3bo5g7bbxd2brd7q7coe

Table of Contents

2019 2019 IEEE/ACM 4th International Workshop on Emotion Awareness in Software Engineering (SEmotion)  
-The Emotion Mining Toolkit 34 Fabio Calefato (University of Bari), Filippo Lanubile (University of Bari), Nicole Novielli (University of Bari), and Luigi Quaranta (University of Bari) What Software  ...  University of Munich), Jan Philip Bernius (Technical University of Munich), and Bernd Bruegge (Technical University of Munich) Towards Recognizing the Emotions of Developers Using Biometrics: The Design  ... 
doi:10.1109/semotion.2019.00004 fatcat:g2td4ufnvvfmngwtjxupf7sqqm

A Gold Standard for Emotion Annotation in Stack Overflow [article]

Nicole Novielli, Fabio Calefato, Filippo Lanubile
2018 arXiv   pre-print
Our dataset contributes to the building of a shared corpus of annotated resources to support research on emotion awareness in software development.  ...  Software developers experience and share a wide range of emotions throughout a rich ecosystem of communication channels.  ...  ACKNOWLEDGMENTS This work is partially funded by the project 'EmoQuest -Investigating the Role of Emotions in Online Question & Answer Sites', funded by MIUR (Ministero dell'Università e della Ricerca)  ... 
arXiv:1803.02300v1 fatcat:7qxmfso6ozdmpc7qsuvzaaaeeu

Love, Joy, Anger, Sadness, Fear, and Surprise: SE Needs Special Kinds of AI: A Case Study on Text Mining and SE

Nicole Novielli, Fabio Calefato, Filippo Lanubile
2020 IEEE Software  
Is it possible to monitor the mood of a large team of coders to determine when and where a codebase needs additional help?  ...  Website: https://collab -uniba.github.io/EMTk/ SentiCR SentiCR is a supervised sentiment-analysis toolkit, specifically trained and evaluated for code-review comments.  ...  Answering these questions is the task of text mining or, more specifically, sentiment analysis.  ... 
doi:10.1109/ms.2020.2968557 fatcat:jckygtmpsfeozj6gtlvaqvo3pi

Classifying emotions in Stack Overflow and JIRA using a multi-label approach

Luis Adrián Cabrera-Diego, Nik Bessis, Yannis Korkontzelos
2020 Knowledge-Based Systems  
Despite its usefulness, research in emotion classification is limited, because the task is multi-label and publicly available data sets and lexica are very limited.  ...  A number of emotion classifiers for general-domain text have been proposed recently, but only a few for text in the domain of Open Source Software (OSS), such as EmoTxt.  ...  Acknowledgments This research has been carried out as part of the CROSSMINER Project, which has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement  ... 
doi:10.1016/j.knosys.2020.105633 fatcat:4mxlgyl64jcm3jdugzou64jd4y