MuSES: Multilingual sentiment elicitation system for social media data

Yusheng Xie; Zhengzhang Chen; Kunpeng Zhang; Yu Cheng; Daniel K. Honbo; Ankit Agrawal; Alok N. Choudhary

doi:10.1109/MIS.2013.52

MuSES: Multilingual sentiment elicitation system for social media data

Yusheng Xie^*, Zhengzhang Chen, Kunpeng Zhang, Yu Cheng, Daniel K. Honbo, Ankit Agrawal, Alok N. Choudhary

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

33 Scopus citations

Abstract

The rapid growth in volume of user-generated Web texts from social network sites such as Facebook and Twitter drives us to analyze unstructured textual data through computational techniques with minimal manual intervention. Identifying their sentiments becomes an important challenge.

Original language	English (US)
Article number	6559997
Pages (from-to)	34-42
Number of pages	9
Journal	IEEE Intelligent Systems
Volume	29
Issue number	4
DOIs	https://doi.org/10.1109/MIS.2013.52
State	Published - Jul 1 2014

Keywords

Facebook
Twitter
computer-mediated communication
information retrieval
intelligent systems
multilingual sentiment identification
sentiment analysis

ASJC Scopus subject areas

Computer Networks and Communications
Artificial Intelligence

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10.1109/MIS.2013.52

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title = "MuSES: Multilingual sentiment elicitation system for social media data",

abstract = "The rapid growth in volume of user-generated Web texts from social network sites such as Facebook and Twitter drives us to analyze unstructured textual data through computational techniques with minimal manual intervention. Identifying their sentiments becomes an important challenge.",

keywords = "Facebook, Twitter, computer-mediated communication, information retrieval, intelligent systems, multilingual sentiment identification, sentiment analysis",

author = "Yusheng Xie and Zhengzhang Chen and Kunpeng Zhang and Yu Cheng and Honbo, {Daniel K.} and Ankit Agrawal and Choudhary, {Alok N.}",

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AU - Xie, Yusheng

AU - Chen, Zhengzhang

AU - Zhang, Kunpeng

AU - Cheng, Yu

AU - Honbo, Daniel K.

AU - Agrawal, Ankit

AU - Choudhary, Alok N.

PY - 2014/7/1

Y1 - 2014/7/1

N2 - The rapid growth in volume of user-generated Web texts from social network sites such as Facebook and Twitter drives us to analyze unstructured textual data through computational techniques with minimal manual intervention. Identifying their sentiments becomes an important challenge.

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KW - computer-mediated communication

KW - information retrieval

KW - intelligent systems

KW - multilingual sentiment identification

KW - sentiment analysis

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MuSES: Multilingual sentiment elicitation system for social media data

Abstract

Keywords

ASJC Scopus subject areas

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