LLM GPT-3.5 study for sentiment analysis across Utkarsh server, Ohio supercomputer, Google Colab and PC

The major objective of the present research is to inspect sentiment analysis models that have been trained on Twitter corpus by utilising the Large Language Model (LLM) gpt-3–5-turbo-16k version of the Generative Pretrained Transformer (GPT 3.5) model. Such trained models include the Bidirectional l...

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Detalhes bibliográficos

Principais autores:	Lavanya B N, Anitha Rathnam K V, Abhishek Appaji, Kiran K, P. Deepa Shenoy, Venugopal K R
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-12-01
coleção:	Results in Engineering
Assuntos:	Bidirectional long short-term memory (BiLSTM) Convolutional neural networks (CNN) Generative pretrained transformer (GPT) Gated recurrent unit (GRU) Natural language processing (NLP) Large language model (LLM)
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2590123024014737
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