Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go?
Sentiment analysis in software engineering focuses on understanding emotions expressed in software artifacts. Previous research highlighted the limitations of applying general off-the-shelf sentiment analysis tools within the software engineering domain and indicated the need for specialized tools tailored to various software engineering contexts. The development of such tools heavily relies on supervised machine learning techniques that necessitate annotated datasets. Acquiring such datasets is a substantial challenge, as it requires domain-specific expertise and significant effort. Objective: This study explores the potential of ZSL to address the scarcity of annotated datasets in senti...
| Authors | Reem Alfayez, Manal Binkhonain |
|---|---|
| Primary category | cs.SE |
| Published | 15 April 2026 |
| Last updated at source | 15 April 2026 |
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