Text Classification using the Concept of Association Rule of Data Mining

As the amount of online text increases, the demand for text classification to aid the analysis and management of text is increasing. Text is cheap, but information, in the form of knowing what classes a text belongs to, is expensive. Automatic classification of text can provide this information at low cost, but the classifiers themselves must be built with expensive human effort, or trained from texts which have themselves been manually classified. In this paper we will discuss a procedure of classifying text using the concept of association rule of data mining. Association rule mining technique has been used to derive feature set from pre-classified text documents. Na

• Type: Journal
• Year: 2010
• Where: CORR
• Authors: Chowdhury Mofizur Rahman, Ferdous Ahmed Sohel, Parvez Naushad, S. M. Kamruzzaman
• Keywords: Association Rule, CORR 2010, Education, Online Text, Text Classification