Sentiment analysis based on NLP and deep learning
Sentiment analysis is a subfield of natural language processing that extracts and identifies sentiments from a string of text. They can be carried out by deep learning models such as RNN, CNN, LSTM, Bi-LSTM and transformer-based models such as BERT, DistilBERT, RoBERTa, XLNET and GPT. This project r...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167544 |