Identifying the Mood of a Software Development Team by Analyzing Text-Based Communication in Chats with Machine Learning
- DOI
- 10.1007/978-3-030-64266-2_8
- Published
- 2020
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-64266-2_8,
title = {Identifying the Mood of a Software Development Team by Analyzing Text-Based Communication in Chats with Machine Learning},
author = {Jil Klünder and Julian Horstmann and Oliver Karras},
year = {2020},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-030-64266-2_8},
url = {https://doi.org/10.1007/978-3-030-64266-2_8}
}RIS
TY - JOUR TI - Identifying the Mood of a Software Development Team by Analyzing Text-Based Communication in Chats with Machine Learning AU - Jil Klünder AU - Julian Horstmann AU - Oliver Karras PY - 2020 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-030-64266-2_8 UR - https://doi.org/10.1007/978-3-030-64266-2_8 ER -
APA
Klünder, J., Horstmann, J., & Karras, O. (2020). Identifying the Mood of a Software Development Team by Analyzing Text-Based Communication in Chats with Machine Learning. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-030-64266-2_8
Source records
- crossref · retrieved 2026-09-25T00:18:43.000Z