Build emotion lexicon from the mood of crowd via topic-assisted joint non-negative matrix factorization

Author

Kaisong SONG
Wei GAO, Singapore Management UniversityFollow
Ling CHEN
Shi FENG
Daling WANG
Chengqi ZHANG

Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

7-2016

Abstract

Kaisong Song, Wei Gao, Ling Chen, Shi Feng, Daling Wang, and Chengqi Zhang. (2016). . In , pages 773–776, Pisa, Italy. ACM Press. https://doi.org/10.1145/2911451.2914759

Discipline

Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016)

First Page

773

Last Page

776

Identifier

10.1145/2911451.2914759

Publisher

ACM Press

City or Country

Pisa, Italy

Citation

SONG, Kaisong; GAO, Wei; CHEN, Ling; FENG, Shi; WANG, Daling; and ZHANG, Chengqi. Build emotion lexicon from the mood of crowd via topic-assisted joint non-negative matrix factorization. (2016). Proceedings of the 38th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016). 773-776.
Available at: https://ink.library.smu.edu.sg/sis_research/4568

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.1145/2911451.2914759