IE based SMS semantic orientation recognition

Author

Li, Lei ; Yang, Yonggui ; Zhong, Yixin

Author_Institution

Beijing Univ. of Posts & Telecommun., Beijing

fYear

2008

fDate

19-22 Oct. 2008

Firstpage

1

Lastpage

6

Abstract

This paper is a grope research on applying the technology of information extraction (IE) in the field of information content security and the focus is semantic orientation recognition for short message service (SMS). An experimental SMS monitoring system will be introduced, in which rules based and hidden Markov model (HMM) based IE patterns are integrated to recognize the semantic orientation of Chinese SMS in two specific domains. Testing results have shown that the performance is good and the method is feasible and promising.

Keywords

electronic messaging; hidden Markov models; information retrieval; pattern recognition; Chinese SMS; SMS semantic orientation recognition; hidden Markov model; information content security; information extraction; short message service; Artificial neural networks; Data mining; Hidden Markov models; Information filtering; Information filters; Information security; Learning systems; Support vector machine classification; Support vector machines; Text recognition; HMM; SMS; Semantic orientation recognition; information extraction; rules;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-4515-8

Electronic_ISBN

978-1-4244-2780-2

Type

conf

DOI

10.1109/NLPKE.2008.4906780

Filename

4906780