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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.

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Title: 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.
Authors: Benayas, Alberto1, alberto.benayas@edu.uah.es, Sicilia, Miguel Angel1, msicilia@uah.es, Mora-Cantallops, Marçal1, marcal.mora@uah.es
Source: Language Resources & Evaluation; Sep2025, Vol. 59 Issue 3, p2007-2030, 24p
Database: Humanities Source
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Header DbId: hus
DbLabel: Humanities Source
An: 186909056
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PubType: Academic Journal
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  Data: 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.
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  Data: <searchLink fieldCode="JN" term="%22Language+Resources+%26+Evaluation%22">Language Resources & Evaluation</searchLink>; Sep2025, Vol. 59 Issue 3, p2007-2030, 24p
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        Value: 10.1007/s10579-024-09796-y
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 2007
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      – TitleFull: 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.
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            NameFull: Benayas, Alberto
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            NameFull: Sicilia, Miguel Angel
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              Text: Sep2025
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              Y: 2025
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