DocumentCode
638429
Title
Text classification experiments on Mongolian language
Author
Damiran, Zolboo ; Altangerel, Khuder
Author_Institution
Dept. of Inf. Syst., MUST-CSMS, Ulaanbaatar, Mongolia
Volume
2
fYear
2013
fDate
June 28 2013-July 1 2013
Firstpage
145
Lastpage
148
Abstract
Text classification is an important task of assigning objects from a universe to two or more classes, especially classification is to classify the topic or the theme of a document. In this research, we have analyzed the result of an experiment on a text classification using Naive Bayesian method approaches for Mongolian language. We have training set of documents, each labeled with one of 10 classes. Since it is the first work in this field for Mongolian language no previous work results were available for comparison.
Keywords
Bayes methods; natural language processing; text analysis; Mongolian language; naive Bayesian method; text classification experiments; Economics; Feature extraction; Manganese; Testing; Training; Naïve Bayesian method; Text categorization; classification; corpus;
fLanguage
English
Publisher
ieee
Conference_Titel
Strategic Technology (IFOST), 2013 8th International Forum on
Conference_Location
Ulaanbaatar
Print_ISBN
978-1-4799-0931-5
Type
conf
DOI
10.1109/IFOST.2013.6616875
Filename
6616875
Link To Document