Personality Types Classification for Indonesian Text in Partners Searching Website Using Naive Bayes Methods
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.
Keywords: text mining, classification, personality, naive bayes
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ABOUT THE AUTHORS
Ni Made Ari Lestari
study in Information Technology, Department of Information Technology Udayana University since August 2008, and now working her research for S.Ti. degree in Information Technology.
Dr. I Ketut Gede Darma Putra, S.Kom., Mt
received his S.Kom degree in Informatics Engineering from Institut Teknologi Sepuluh Nopember University, his MT. degree in Electrical Engineering from Gajah Mada University and his Dr. degree in Electrical Engineering from Gajah Mada University. He is lecturer at Electrical Engineering Department (major in Computer System and Informatics) of Udayana University, lecturer at Information Technology Department of Udayana University.
Aa Ketut Agung Cahyawan, St., Mt
received his ST degree and MT degree in Electrical Engineering from Institut Teknologi Bandung. He is lecturer at Electrical Engineering Department (major in Computer System and Informatics) of Udayana University, lecturer at Information Technology Department of Udayana University
Ni Made Ari Lestari
study in Information Technology, Department of Information Technology Udayana University since August 2008, and now working her research for S.Ti. degree in Information Technology.
Dr. I Ketut Gede Darma Putra, S.Kom., Mt
received his S.Kom degree in Informatics Engineering from Institut Teknologi Sepuluh Nopember University, his MT. degree in Electrical Engineering from Gajah Mada University and his Dr. degree in Electrical Engineering from Gajah Mada University. He is lecturer at Electrical Engineering Department (major in Computer System and Informatics) of Udayana University, lecturer at Information Technology Department of Udayana University.
Aa Ketut Agung Cahyawan, St., Mt
received his ST degree and MT degree in Electrical Engineering from Institut Teknologi Bandung. He is lecturer at Electrical Engineering Department (major in Computer System and Informatics) of Udayana University, lecturer at Information Technology Department of Udayana University
