Abstract
This article presents the application of modeling to automatic classification of Thai document. Modeling is beneficial for solving the problem of classifying electronic documents in a large volume and save human labor. The process of modeling consists of 1) feature extraction with the Thai word segmentation 2) stop-word list removal and stemming. 3) the index of the documents and feature reduction and 4) learning by machine learning and testing the accuracy of the document classification model.
This article presents the application of modeling to automatic classification of Thai document. Modeling is beneficial for solving the problem of classifying electronic documents in a large volume and save human labor. The process of modeling consists of 1) feature extraction with the Thai word segmentation 2) stop-word list removal and stemming. 3) the index of the documents and feature reduction and 4) learning by machine learning and testing the accuracy of the document classification model.
Keywords: Document Classification, Modeling, Data mining
