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An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering
Research article (IEEE Access, 2024) · cited 16× · AI/ML
An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering
Summary
An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering is a scholarly article[1].
Key Facts
An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-evaluation-of-the-zero-shot-few-shot-and-traditional-fine-tuning-based-pretrained-language-models-for-senti
MLA“An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-evaluation-of-the-zero-shot-few-shot-and-traditional-fine-tuning-based-pretrained-language-models-for-senti.
BibTeX@misc{4ortxyz_an-empirical-evaluation-of-the-zero-shot-few-shot-and-traditional-fine-tuning-based-pretrained-language-models-for-senti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-evaluation-of-the-zero-shot-few-shot-and-traditional-fine-tuning-based-pretrained-language-models-for-senti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering — https://4ort.xyz/entity/an-empirical-evaluation-of-the-zero-shot-few-shot-and-traditional-fine-tuning-based-pretrained-language-models-for-senti (retrieved 2026-05-24)
