Twitter sentiment classification for measuring public health concerns-Reference-Cited by-同舟云学术

Twitter sentiment classification for measuring public health concerns

Published:2015-05-12 Issue:1 Volume:5 Page:
ISSN:1869-5450
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Ji Xiang,Chun Soon Ae,Wei Zhi,Geller James

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s13278-015-0253-5.pdf

Reference75 articles.

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3. Artman H, Brynielsson J, Johansson BJE, Trnka J (2011) Dialogical Emergency Management and Strategic Awareness in Emergency Communication. In: Proceedings of the 8th International ISCRAM Conference

4. Barbieri F, Saggion H (2014) Modelling Irony in Twitter. In: Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pp 56–64

5. Barbosa L, Feng J (2010) Robust sentiment detection on Twitter from biased and noisy data. In: Proceedings of the 23rd International Conference on Computational Linguistics, Beijing, China, pp 36–44

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