Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification-Reference-Cited by-同舟云学术

Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification

Published:2024-03-14 Issue:1 Volume:38 Page:
ISSN:0883-9514
Container-title:Applied Artificial Intelligence
language:en
Short-container-title:Applied Artificial Intelligence

Author:

Suresh Kumar K.¹,Radha Mani A.S.²,Ananth Kumar T.³,Jalili Ahmad⁴,Gheisari Mehdi⁵⁶⁷,Malik Yasir⁸,Chen Hsing-Chung⁹,Jahangir Moshayedi Ata¹⁰

Affiliation:

1. Department of Information Technology, Sri Krishna College of Technology, Coimbatore, India

2. Department of Electronics and Communication Engineering, Amrita College of Engineering and Technology, Nagercoil, India

3. Department of Computer Science and Engineering, IFET College of Engineering, Villupuram, India

4. Department of Computer Engineering, Faculty of Basic Sciences and Engineering, Gonbad Kavous University, Gonbad Kavous, Golestan, Iran

5. Department of R&D, Shenzhen BKD Co.LTD, Shenzhen, China

6. Department of Cognitive Computing, Institute of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

7. Department of Computer Science, Islamic Azad University, Tehran, Iran

8. Department of Computer science, Bishops University, Sherbrooke, Quebec, Canada

9. Department of Computer Science and Information Engineering, College of Information and Electrical Engineering, Asia University, Taichung City, Taiwan

10. School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, China

Funder

Islamic Azad University

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2321555

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