Sentiment analysis based on deep learning
As millions of messages are posted and thousands of articles are published every day, a lot of information is stored in form of natural unstructured text. Natural Language Processing (NLP) aims to extract information from text and understand text using computational methods. One of the most importan...
Saved in:
主要作者: | Jiang, Qi |
---|---|
其他作者: | Mao Kezhi |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2021
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/149022 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
Sentiment analysis based on deep learning
由: Chan, Benjamin Wei Xun
出版: (2022) -
Sentiment analysis based on NLP and deep learning
由: Lim, Zion Ziheng
出版: (2023) -
Sentiment analysis based on deep neural networks
由: Zhang, Jingsheng
出版: (2021) -
Review sentiment analysis based on deep neural network
由: Song, Wanzhen
出版: (2020) -
Machine learning technicques for aspect based sentiment analysis
由: Chen, Haonan
出版: (2017)