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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2022
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| 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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