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An Analytical Model for Evaluating Public Moods Based on the Internet Comments
Chan, Io Weng1; Fong, Simon1; Deb, Suash2
2011-02
Conference NameNational Conference on Data Mining (NCDM 2011) AIMS Pune
Source PublicationProceedings of National Conference on Data Mining (NCDM 2011) AIMS Pune
Conference DateFeb 19-20, 2011
Conference PlacePune, India
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
URLView the original
Language英語English
Document TypeConference paper
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Faculty of Science and Technology, University of Macau, Macau
2.Department of Computer Science and Engineering, C.V. Raman College of Engineering, Bhubaneswar, India
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Chan, Io Weng,Fong, Simon,Deb, Suash. An Analytical Model for Evaluating Public Moods Based on the Internet Comments[C],2011.
APA Chan, Io Weng,Fong, Simon,&Deb, Suash.(2011).An Analytical Model for Evaluating Public Moods Based on the Internet Comments.Proceedings of National Conference on Data Mining (NCDM 2011) AIMS Pune.
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