A comparative analysis of encoder only and decoder only models in intent classification and sentiment analysis: navigating the trade-offs in model size and performance.

Intent classification and sentiment analysis stand as pivotal tasks in natural language understanding (NLU), with applications ranging from virtual assistants to customer service. The advent of transformer-based models has significantly enhanced the performance of various NLP tasks, with encoder-onl...

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Bibliographic Details

Published in:	Language Resources & Evaluation Vol. 59; no. 3; pp. 2007 - 2031
Main Authors:	Benayas, Alberto, Sicilia, Miguel Angel, Mora-Cantallops, Marçal
Format:	Article
Published:	Springer Nature Sep2025
Subjects:	Sentiment analysis Transformer models Decoding algorithms Natural language processing Computer performance Computational linguistics
Online Access:	View this record in EBSCOhost