2026-08-25T06:52:53Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4384 2022-03-24T23:17:09Z 1582963302567:1597824304333 user-ucsy

Myanmar Text Classifier Using Genetic Algorithm Zaw, Thit Thit Soe, Khin Mar 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. 2019-03 http://hdl.handle.net/20.500.12678/0000004384 https://meral.edu.mm/records/4384