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