A sentiment analysis method of objects by integrating sentiments from tweets-Reference-Cited by-同舟云学术

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A sentiment analysis method of objects by integrating sentiments from tweets

Published:2019-12-23 Issue:6 Volume:37 Page:7251-7263
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Phan Huyen Trang¹,Nguyen Ngoc Thanh²³,Tran Van Cuong⁴,Hwang Dosam¹

Affiliation:

1. Department of Computer Engineering, Yeungnam University, Gyeongsan, Republic of Korea

2. Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland

3. Faculty of Information Technology, Nguyen Tat Thanh University, Ho Chi Minh city, Vietnam

4. Faculty of Engineering and Information Technology, Quang Binh University, Dong Hoi, Vietnam

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference20 articles.

1. Lexicon-enhanced sentiment analysis framework using rulebased classification scheme;Asghar;PloS One,2017

2. T-SAF: Twitter sentiment analysis framework using a hybrid classification scheme

3. Sentiment analysis of tweets using svm;Ahmad;Int J Comput Appl,2017

4. Senti-N-Gram: An n-gram lexicon for sentiment analysis;Dey;Expert Syst Appl,2018

5. Hu M. and Liu B. , Mining and summarizing customer reviews, In: Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2004, pp. 168–177.

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