Sentiment analysis using pre-trained language model with no fine-tuning and less resource

Sentiment analysis has become popular when Natural Language Processing algorithms were proven to be able to process complex sentences with good accuracy. Recently, pre-trained language models such as BERT and mBERT, have been shown to be effective for improving language tasks. Most of the work in im...

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Bibliographic Details
Main Authors: Kit, Yuheng, Mohd. Mokji, Musa
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Subjects:
Online Access:http://eprints.utm.my/104421/1/MusaMohdMokji2022_SentimentAnalysisUsingPreTrained.pdf
http://eprints.utm.my/104421/
http://dx.doi.org/10.1109/ACCESS.2022.3212367
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