An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering

Author:

Shafikuzzaman Md1ORCID,Islam Md Rakibul1ORCID,Rolli Alex C.2,Akhter Sharmin1ORCID,Seliya Naeem2ORCID

Affiliation:

1. Department of Computer Science, Lamar University, Beaumont, TX, USA

2. Department of Computer Science, University of Wisconsin-Eau Claire, Eau Claire, WI, USA

Funder

College of Arts and Sciences, Lamar University, Beaumont, TX, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference92 articles.

1. Are happy developers more productive? The correlation of affective states of software developers and their self-assessed productivity;Graziotin

2. Are Bullies More Productive? Empirical Study of Affectiveness vs. Issue Fixing Time

3. The effect of music listening on work performance

4. Mining Valence, Arousal, and Dominance–possibilities for detecting burnout and productivity?;Mantyla

5. Self-Admitted Technical Debt and comments’ polarity: an empirical study

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