2024-03-28T13:16:23Z
https://meral.edu.mm/oai
oai:meral.edu.mm:recid/4304
2021-12-13T01:43:25Z
1582963302567:1597824322519
user-ucsy
Myanmar Text Classifier using Genetic Algorithm
Zaw, Thit Thit
Text Classification is the task of automatically assigning a set of documentsinto certain categories (class or topics) from a predefined set. This also plays animportant role in natural language processing and also crossroads betweeninformation retrieval and machine learning. The dramatic growth of text document indigital form news website makes the task of text classification more popular over lastten year. The application of this method can be found in spam filtering, question andanswering, language identification. This book presents the idea of text classificationprocess in term of using machine learning technique and illustrates how Myanmarnews documents are classified by applying genetic algorithm. The applied system useMyanmar online news articles from Myanmar news website for the purpose oftraining and testing the system. Term Frequency Inverse Document Frequency (TFIDF) algorithm was used to select related feature according to their labelleddocuments which are also applied in many text mining methods.
2018-07
http://hdl.handle.net/20.500.12678/0000004304
https://meral.edu.mm/records/4304