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

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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Bibliographic Details
Main Authors: Lavanya B N, Anitha Rathnam K V, Abhishek Appaji, Kiran K, P. Deepa Shenoy, Venugopal K R
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
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)
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024014737
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