Text classification, as part of text mining domain, is the problem of classifying text documents into a set of predefined classes. After extracting the features, documents are represented as …
W Zhang, T Yoshida, X Tang - Knowledge-Based Systems, 2008 - Elsevier
One of the main themes supporting text mining is text representation, ie, looking for the appropriate terms to transfer the documents into numerical vectors. Recently, many efforts …
YM Chung, YH Noh - Journal of Information Science, 2003 - journals.sagepub.com
This study developed a specialized directory system using an automatic classification technique. Economics was selected as the subject field for the classification experiments …
T Jo, DH Cho - … journal of mathematics and computers in …, 2008 - koasas.kaist.ac.kr
This research proposes an alternative approach to machine learning based approaches for categorizing online news articles. For using machine learning based approaches for any …
Y Ko, J Seo - Information Processing & Management, 2009 - Elsevier
Many machine learning algorithms have been applied to text classification tasks. In the machine learning paradigm, a general inductive process automatically builds a text classifier …
ZS Zubi - Proceedings of the 8th WSEAS international …, 2009 - academia.edu
With the massive rise in the volume of information available on the World Wide Web these days, and the emergence requirements for a superior technique to access this information …
SM Kamruzzaman - arXiv preprint arXiv:1009.4964, 2010 - arxiv.org
Text classification is the process of classifying documents into predefined categories based on their content. It is the automated assignment of natural language texts to predefined …