Identification of nonliteral language in social media: A case study on sarcasm-Reference-Cited by-同舟云学术

Identification of nonliteral language in social media: A case study on sarcasm

Published:2015-12-23 Issue:11 Volume:67 Page:2725-2737
ISSN:2330-1635
Container-title:Journal of the Association for Information Science and Technology
language:en
Short-container-title:J Assn Inf Sci Tec

Author:

Muresan Smaranda¹,Gonzalez-Ibanez Roberto²,Ghosh Debanjan³,Wacholder Nina³

Affiliation:

1. Center for Computational Learning Systems; Columbia University; New York New York USA

2. Departamento de Ingeniería Informática; Universidad de Santiago de Chile; Santiago Chile

3. Department of Library and Information Science; Rutgers University; New Brunswick New Jersey USA

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Link

Reference42 articles.

1. Agarwal , A. Xie , B. Vovsha , I. Rambow , O. Passonneau , R. 2011 Sentiment analysis of Twitter data

2. Barbosa , L. Feng , J. 2010 Robust sentiment detection on twitter from biased and noisy data

3. Becker , H. Naaman , M. Gravano , L. 2011 Beyond trending topics: Real-world event identification on Twitter

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