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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Bibliographic Details
Main Author: Lim, Zion Ziheng
Other Authors: Mao Kezhi
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167544
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Institution: Nanyang Technological University
Language: English

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