Using NaÃ¯ve Bayes Model and Natural Language Processing for Classifying Messages on Online Forum

Author

Phuc, Do ; Phung, Nguyen Thi Kim

Author_Institution

Fac. of Inf. Syst., Univ. of Inf. Technol., Ho Chi Minh City

fYear

2007

fDate

5-9 March 2007

Firstpage

247

Lastpage

252

Abstract

In this paper, we would like to present how to classify Vietnamese messages on the online forum. We use the naive Bayes model for building a classifier. Besides, we also utilize natural language processing (NLP) tools for word segmentation, POS tagging, noun phrase chunking, extracting the nouns and noun phrases in message. These nouns and noun phrases are used for representing the message. With the representation model based on nouns and noun phrases, we improve the accuracy of classification with the support of semantic relations between words.

Keywords

Bayes methods; computer aided instruction; grammars; natural language processing; text analysis; POS tagging; Vietnamese message classification; e-learning system; message classification; naive Bayes model; natural language processing; noun phrase chunking; online forum; semantic relation; word segmentation; Cities and towns; Computer network management; Databases; Electronic learning; Grid computing; Information systems; Information technology; Natural language processing; Ontologies; Tagging; Document Classification; NaÃ¯ve Bayes model; Online forum; POS tagging; Word segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Research, Innovation and Vision for the Future, 2007 IEEE International Conference on

Conference_Location

Hanoi

Print_ISBN

1-4244-0694-3

Type

conf

DOI

10.1109/RIVF.2007.369164

Filename

4223081