Text categorization with WEKA: A survey

Abstract This work shows the use of WEKA , a tool that implements most common machine learning algorithms, to perform Text Mining analysis on set documents. Applying these methods requires initial steps where text is converted into structured format. Both processing phase and transformed dataset, using classification clustering can be carried out entirely with this tool, in rigorous simple way. The describes construction two models starting from different sets These are not meant good or realistic, but just illustrate how used for analysis.