M2SA: a novel dataset for multi-level and multi-domain sentiment analysis-Reference-Cited by-同舟云学术

M2SA: a novel dataset for multi-level and multi-domain sentiment analysis

Published:2023-07-07 Issue:4 Volume:7 Page:494-512
ISSN:2475-1839
Container-title:Journal of Information and Telecommunication
language:en
Short-container-title:Journal of Information and Telecommunication

Author:

Phan Huyen Trang¹^ORCID,Nguyen Ngoc Thanh²,Hwang Dosam³,Seo Yeong-Seok³

Affiliation:

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

2. Department of Applied Informatics, Wroclaw University of Science and Technology, Wroclaw, Poland

3. Department of Computer Engineering, Yeungnam University, Gyeongsan, South Korea

Funder

National Research Foundation of Korea

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/24751839.2023.2229700

Reference33 articles.

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3. A Neural Word Embeddings Approach for Multi-Domain Sentiment Analysis

4. Fan F. Feng Y. & Zhao D. (2018). Multi-grained attention network for aspect-level sentiment classification. In Proceedings of the 2018 conference on empirical methods in natural language processing (pp. 3433–3442). Association for Computational Linguistics.

5. Go A. Bhayani R. & Huang L. (2009). Twitter sentiment classification using distant supervision . CS224N project report 1(12). Stanford.

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