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  • 标题:Personality Types Classification for Indonesian Text in Partners Searching Website Using Naive Bayes Methods
  • 本地全文:下载
  • 作者:Ni Made Ari Lestari ; Dr. I Ketut Gede Darma Putra ; S.Kom.
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2013
  • 卷号:10
  • 期号:1
  • 出版社:IJCSI Press
  • 摘要:The development of digital text information has been growing fast, but most of digital text is in unstructured form. Text mining analysis is needed in dealing with such unstructured text. One of the activities important in text mining is text classification or categorization. Text categorization itself currently has a variety of approaches such as probabilistic approaches, support vector machines, and artificial neural network or decision tree classification. Naive Bayes probabilistic method has several advantages of simplicity in computing. Nave Bayes method is a good method in machine learning based on training data using conditional probability as the basic. This experiments use text mining with Nave Bayes method to classify the personality type of user and use the type to find their couples based on the compatibility of their personality type.
  • 关键词:text mining; classification; personality; naive bayes
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