Leveraging Bidirectional Encoder Representations from Transformers (BERT) for Enhanced Sentiment Analysis

A Kazi, G Kumar, R Agrawal - International Conference on Advances in …, 2023 - Springer
This study investigates how Bidirectional Encoder Representations from Transformers
(BERT) can revolutionize sentiment analysis in a variety of fields. Sentiment analysis models
can now capture complex emotions and context, thanks to BERT's contextual understanding
and cutting-edge machine learning techniques like transfer learning. We group models
according to domains and learning paradigms and then display their results. By bridging the
gap between human expression and computer comprehension, BERT can transform the …

Leveraging Bidirectional Encoder Representations from Transformers

A Kazi, G Kumar, R Agrawal - Advances in Computational …, 2024 - books.google.com
This study investigates how Bidirectional Encoder Representations from Transformers
(BERT) can revolutionize sentiment analysis in a variety of fields. Sentiment analysis models
can now capture complex emotions and context, thanks to BERT's contextual understanding
and cutting-edge machine learning techniques like transfer learning. We group models
according to domains and learning paradigms and then display their results. By bridging the
gap between human expression and computer comprehension, BERT can transform the …
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