Please use this identifier to cite or link to this item:
Title: Collaborative discovery of Chinese neologisms in social media
Authors: Lai, SL
Ng, VTY 
Keywords: Neologism discovery
Social media analysis
Text mining
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2014, 6974578, p. 4107-4112 How to cite?
Abstract: The emergence of neologism in social media has bought the researchers' attention. Traditional ways of text mining are not sufficient to handle the unique properties of messages in the new media. New methods have been developed to extract neologisms in order to help researchers to understand about community behavior in different media. In this paper, we propose a collaborative framework to detect neologisms from various social media. There are 4 different types of agents working collaboratively. Among them, the summarizing agent is using the life span parameter to confirm if an unknown character pattern is a neologism. Preliminary experiments have been performed to investigate the possible popularity patterns of some known neologisms.
Description: 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014, 5-8 October 2014
ISSN: 1062-922X
DOI: 10.1109/SMC.2014.6974578
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Aug 12, 2018

Page view(s)

Last Week
Last month
Citations as of Aug 13, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.