A Literature Review on Text Classification and Sentiment Analysis Approaches-Reference-Cited by-同舟云学术

A Literature Review on Text Classification and Sentiment Analysis Approaches

Published:2021 Issue: Volume: Page:305-323
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Dawei Wang,Alfred Rayner^ORCID,Obit Joe Henry,On Chin Kim

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4069-5_26

Reference66 articles.

1. Wadawadagi R, Pagi V (2020) Sentiment analysis with deep neural networks: comparative study and performance assessment. Artif Intell Rev. https://doi.org/10.1007/s10462-020-09845-2

2. C. Team (2019) Weibo monthly active users grew to 462 million in Dec 2018, 93% on mobile [Online]. Available: https://www.chinainternetwatch.com/28566/weibo-fiscal-2018/

3. Yoo S, Song J, Jeong O (2018) Social media contents based sentiment analysis and prediction system 105:102–111

4. Yang X, Xu S, Wu H, Bie R (2019) Sentiment analysis of Weibo comment texts based on extended vocabulary and convolutional neural network. Procedia Comput Sci 147:361–368

5. Sebastiani F, delle Ricérche CN, Moruzi VG (2003) Research in automated text classification: trends and perspectives, no. Ml

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