DOM: A big data analytics framework for mining Thai public opinions

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Publication Details

Author list: Prom-On S., Ranong S.N., Jenviriyakul P., Wongkaew T., Saetiew N., Achalakul T.

Publisher: Hindawi

Publication year: 2014

Start page: 1

End page: 6

Number of pages: 6

ISBN: 9781479945757

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946686270&doi=10.1109%2fIC3INA.2014.7042591&partnerID=40&md5=4ed5c2899a185721dc81d2de2b4ee404

Languages: English-Great Britain (EN-GB)

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Abstract

This paper presents the development of DOM, a mobile big data analytics engine for mining Thai public opinions. The engine takes in data from multiple well-known social network sources, and then processes them using MapReduce, a keyword-based sentiment analysis technique, and an influencer analysis algorithm to determine public opinions and sentiments of certain topics. The system was evaluated its sentiment prediction accuracy by matching the predicted result with the human sentiment and tested on various case studies. The effectiveness of the approach demonstrates the practical applications of the engine. ฉ 2014 IEEE.

Keywords

opinion mining, public sentiment