Transfer Learning for Sentiment Classification Using Bidirectional Encoder Representations from Transformers (BERT) Model

Transfer Learning for Sentiment Classification Using Bidirectional Encoder Representations from Transformers (BERT) Model

Sentiment is currently one of the most emerging areas of research due to the large amount of web content coming from social networking websites. Sentiment analysis is a crucial process for recommending systems for most people. Generally, the purpose of sentiment analysis is to determine an author’s...

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Bibliographic Details
Main Authors: Ali Areshey, Hassan Mathkour
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
BERT model
sentiment analysis
machine learning
transformers
transfer learning
Online Access:https://www.mdpi.com/1424-8220/23/11/5232

Internet

https://www.mdpi.com/1424-8220/23/11/5232

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