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  1. University of Computer Studies, Yangon
  2. Journals

Myanmar Text Classifier Using Genetic Algorithm

http://hdl.handle.net/20.500.12678/0000004384
http://hdl.handle.net/20.500.12678/0000004384
298eec3f-dcf3-46e7-adda-72b55ea86acd
dd210150-85e4-462c-91db-e3f9f3ad0f81
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NJPSC NJPSC 2019 Proceedings-pages-214-218.pdf (246 Kb)
Publication type
Article
Upload type
Publication
Title
Title Myanmar Text Classifier Using Genetic Algorithm
Language en_US
Publication date 2019-03
Authors
Zaw, Thit Thit
Soe, Khin Mar
Description
Text Classification is the task of automaticallyassigning a set of documents into certain categories(class or topics) from a predefined set. This also playimportant role in natural language processing andalso crossroad between information retrieval andmachine Learning. The dramatic growth of textdocument in digital form news website make the taskof text classification more popular over last ten year.The application of this method can be found in spamfiltering, question and answering, languageidentification. This paper presents the idea of textclassification process in term of using machinelearning technique and illustrates how Myanmarnews documents were classified by applying geneticalgorithm. The applied system will be used Myanmaronline news articles from Myanmar news website forthe purpose of training and testing the system. Termfrequency inverse document frequency (tf_idf)algorithm was used to select related featureaccording to their labelled document which is alsoapplied in many text mining methods.
Keywords
Text Mining, Text Classification, Natural Language Processing, Machine Learning, Genetic Algorithm
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/2320
Journal articles
National Journal of Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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