Exploiting Language Models to Classify Events from Twitter
Joint Authors
Vo, Duc-Thuan
Hai, Vo Thuan
Ock, Cheol-Young
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-09-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Classifying events is challenging in Twitter because tweets texts have a large amount of temporal data with a lot of noise and various kinds of topics.
In this paper, we propose a method to classify events from Twitter.
We firstly find the distinguishing terms between tweets in events and measure their similarities with learning language models such as ConceptNet and a latent Dirichlet allocation method for selectional preferences (LDA-SP), which have been widely studied based on large text corpora within computational linguistic relations.
The relationship of term words in tweets will be discovered by checking them under each model.
We then proposed a method to compute the similarity between tweets based on tweets’ features including common term words and relationships among their distinguishing term words.
It will be explicit and convenient for applying to k-nearest neighbor techniques for classification.
We carefully applied experiments on the Edinburgh Twitter Corpus to show that our method achieves competitive results for classifying events.
American Psychological Association (APA)
Vo, Duc-Thuan& Hai, Vo Thuan& Ock, Cheol-Young. 2015. Exploiting Language Models to Classify Events from Twitter. Computational Intelligence and Neuroscience،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057694
Modern Language Association (MLA)
Vo, Duc-Thuan…[et al.]. Exploiting Language Models to Classify Events from Twitter. Computational Intelligence and Neuroscience No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1057694
American Medical Association (AMA)
Vo, Duc-Thuan& Hai, Vo Thuan& Ock, Cheol-Young. Exploiting Language Models to Classify Events from Twitter. Computational Intelligence and Neuroscience. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1057694
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057694