Can We Use SE-specific Sentiment Analysis Tools in a Cross-Platform Setting?

In this paper, we address the problem of using sentiment analysis tools 'off-the-shelf', that is when a gold standard is not available for retraining. We evaluate the performance of four SE-specific tools in a cross-platform setting, i.e., on a test set collected from data sources differen...

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Veröffentlicht in:	2020 IEEE/ACM 17th International Conference on Mining Software Repositories (MSR) S. 158 - 168
Hauptverfasser:	Novielli, Nicole, Calefato, Fabio, Dongiovanni, Davide, Girardi, Daniela, Lanubile, Filippo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.05.2020
Schlagworte:	Data mining Deep learning empirical software engineering human fac-tors machine learning NLP Reliability engineering Sentiment analysis Soft sensors Software reliability Training
ISSN:	2574-3864
Online-Zugang:	Volltext
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