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.
Original language | English |
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Article number | 6974578 |
Pages (from-to) | 4107-4112 |
Number of pages | 6 |
Journal | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
Volume | 2014-January |
Issue number | January |
DOIs | |
Publication status | Published - 1 Jan 2014 |
Event | 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States Duration: 5 Oct 2014 → 8 Oct 2014 |
Keywords
- Neologism discovery
- Social media analysis
- Text mining
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Control and Systems Engineering
- Human-Computer Interaction