DocumentCode
2572627
Title
A survey of researches on the application of natural language processing in internet public opinion monitor
Author
Wu, Chang ; Chen, Yidong
Author_Institution
Dept. of Cognitive Sci., Xiamen Univ., Xiamen, China
fYear
2011
fDate
27-29 June 2011
Firstpage
1035
Lastpage
1038
Abstract
In this paper, a survey of researches on the application of natural language processing (NLP) in internet public opinion monitor (IPOM) was proposed. Key NLP technologies used in all stages of IPOM were introduced in detail. Two main difficulties that IPOM faces were also addressed. They are the problem of semantic understanding and the problem of sentiment analysis.
Keywords
Internet; natural language processing; IPOM; Internet public opinion monitor; natural language processing; semantic understanding; sentiment analysis; Computational linguistics; Data mining; Humans; Internet; Monitoring; Natural language processing; Semantics; Internet Public Opinion Monitor (IPOM); Natural Language Processing (NLP); Semantic Understanding; Sentiment Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5972059
Filename
5972059
Link To Document