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

被引：0
|
作者：
Prom-on, Santitham [1 ]
Ranong, Sirapop Na [1 ]
Jenviriyakul, Patcharaporn [1 ]
Wongkaew, Thepparit [1 ]
Saetiew, Nareerat [1 ]
Achalakul, Tiranee [1 ]
机构：
[1] King Mongkuts Univ Technol Thonburi, Fac Engn, Dept Comp Engn, Bangkok, Thailand
来源：
2014 INTERNATIONAL CONFERENCE ON COMPUTER, CONTROL, INFORMATICS AND ITS APPLICATIONS (IC3INA) | 2014年
关键词：
opinion mining; big data analytics; MapReduce; public sentiment;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
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页码：1 / 6
页数：6
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