An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering.
Md ShafikuzzamanMd. Rakibul IslamAlex C. RolliSharmin AkhterNaeem SeliyaPublished in: IEEE Access (2024)
Keyphrases
- fine tuning
- sentiment analysis
- language model
- language modeling
- opinion mining
- n gram
- document retrieval
- sentiment classification
- probabilistic model
- text classification
- information retrieval
- artificial intelligence
- sentence level
- query expansion
- text mining
- test collection
- retrieval model
- query terms
- product reviews
- user generated
- natural language processing
- vector space model
- key frames
- visual features
- product features
- translation model
- language models for information retrieval
- pseudo relevance feedback
- document ranking
- smoothing methods
- knowledge base
- cross lingual
- relevance model
- data mining
- query specific
- sentiment lexicon