DocumentCode :
170399
Title :
A survey of Internet public opinion mining
Author :
Kaijie Guo ; Liang Shi ; Weilong Ye ; Xiang Li
Author_Institution :
Software Sch., Xiamen Univ., Xiamen, China
fYear :
2014
fDate :
16-18 May 2014
Firstpage :
173
Lastpage :
179
Abstract :
Nowadays Internet has become a major public opinion formation and diffusion platform. How to acquire the public hotspots and trends by collecting and analyzing the massive data on the Internet is an important research topic in public opinion analysis. In this paper, we firstly introduce the definition and framework of Internet public opinion mining, then focus on the comparison and analysis of key techniques used in different layers, and finally make a summary and outlook.
Keywords :
Internet; data analysis; data mining; Internet; diffusion platform; massive data analysis; public hotspots; public opinion formation; public opinion mining; Accuracy; Algorithm design and analysis; Data mining; Internet; Semantics; Web pages; opinion mining; public opinion; sentiment analysis; topic detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
Type :
conf
DOI :
10.1109/PIC.2014.6972319
Filename :
6972319
Link To Document :
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