Sarcasm Identification on Twitter: A Machine Learning Approach-Reference-Cited by-同舟云学术

Sarcasm Identification on Twitter: A Machine Learning Approach

Published:2017 Issue: Volume: Page:374-383
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Onan Aytuğ

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-57261-1_37

Reference26 articles.

1. Wang, G., Sun, J., Ma, J., Xu, K., Gu, J.: Sentiment classification: the contribution of ensemble learning. Decis. Support Syst. 57, 77–93 (2014)

2. Fersini, E., Messina, E., Pozzi, F.A.: Sentiment analysis: Bayesian ensemble learning. Decis. Support Syst. 68, 26–38 (2014)

3. Walker, M.A., Tree, J.E.F., Anand, P., Abbott, R., King, J.: A corpus for research on deliberation and debate. In: Proceedings of Language Resources and Evaluation Conference, pp. 812–817. ACL, New York (2012)

4. Gonzalez-Ibanez, R., Muresan, S., Wacholder, N.: Identifying sarcasm in Twitter: a closer look. In: Proceedings of the 49th Annual Meeting of the Association for Computation Linguistics, pp. 581–586. ACL, New York (2011)

5. Muresan, S., Gonzalez-Ibanez, R., Ghosh, D., Wacholder, N.: Identification of nonliteral language in social media: a case study on sarcasm. J. Assoc. Inf. Sci. Technol. (2016). doi: 10.1002/asi.23624

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