Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques

Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques

IntroductionSentiment analysis has become a crucial area of research in natural language processing in recent years. The study aims to compare the performance of various sentiment analysis techniques, including lexicon-based, machine learning, Bi-LSTM, BERT, and GPT-3 approaches, using two commonly...

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Bibliographic Details
Main Authors: Sherif Elmitwalli, John Mehegan
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-03-01
Series:Frontiers in Big Data
Subjects:
sentiment analysis
lexicon-based
Bi-LSTM
BERT
GPT-3
COP9
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2024.1357926/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2024.1357926/full

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