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An Event Driven Neural Network System for Evaluating Public Moods from Online Users’ Comments
Simon Fong1; Suash Deb2; Io-Weng Chan1; P. Vijayakumar3
2014
Conference NameThe Fifth International Conference on the Applications of Digital Information and Web Technologies (ICADIWT 2014)
Source Publication5th International Conference on the Applications of Digital Information and Web Technologies, ICADIWT 2014
Pages239-243
Conference Date17-19 Feb. 2014
Conference PlaceBangalore, India
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

It has become a prevalent lifestyle nowadays that netizens voice their opinions on social networks (Web 2.0), for matters of all sizes, and on a regular basis. The opinions which initially should be intended for their groups of friends propagate to all public users. This pond of opinions in the forms of forum posts, messages written on micro-blogs, Twitter and Facebook, are largely contributed by communities of online users (or sometimes bloggers). The messages though might seem to be trivial when each of them is viewed singularly, the converged sum of them serves as a potentially useful source of information to be analysed. A government of a city, for instance, may be interested to know the response of the citizens after a new policy is announced, from their voices collected from the Internet. However, such online messages are unstructured in nature, their contexts vary greatly, and that poses a tremendous difficulty in correctly interpreting them. In this paper we propose an innovative analytical model that evaluates such messages by representing them in different moods. The model comprises of several data analytics such as cultural moods analyzer implemented by neural networks, text mining and hierarchical visualization that reflects public moods over a large population of Internet comments. 

KeywordCultural Moods Engines Event Driven Artificial Neural Network Models Hierarchical Visualization
DOIhttps://doi.org/10.1109/ICADIWT.2014.6814688
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Telecommunications
WOS IDWOS:000340720700040
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Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Faculty of Science and Technology, University of Macau, Macau
2.Department of Computer Science and Engineering, Cambridge Institute of Technology, Ranchi, India
3.Pondicherry University Puducherry – 602 105. India
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Simon Fong,Suash Deb,Io-Weng Chan,et al. An Event Driven Neural Network System for Evaluating Public Moods from Online Users’ Comments[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,2014:239-243.
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