Twitter microblog sentiment analysis

Author

Guangxia LI
Kuiyu CHANG
Steven C. H. HOI, Singapore Management UniversityFollow

Publication Type

Book Chapter

Publication Date

1-2014

Abstract

Twitter microblog sentiment analysis aims to identify and detect the sentiments or emotions present in a microblog post. The techniques developed for microblog sentiment analysis can also be applied to classify social media data in a real-time manner.

Discipline

Databases and Information Systems | Social Media

Research Areas

Data Science and Engineering

Publication

Encyclopedia of social network analysis and mining

Editor

R. Alhajj and J. Rokne

First Page

2253

Last Page

2259

ISBN

9781493971312

Identifier

10.1007/978-1-4614-6170-8_265

Publisher

Springer

City or Country

New York

Citation

LI, Guangxia; CHANG, Kuiyu; and HOI, Steven C. H.. Twitter microblog sentiment analysis. (2014). Encyclopedia of social network analysis and mining. 2253-2259.
Available at: https://ink.library.smu.edu.sg/sis_research/4186

Additional URL

https://doi.org/10.1007/978-1-4614-6170-8_265