Implementation On Morphological Text Mining

Abstract: Text mining is extracting useful or relevant information from a textual file. The extraction of information works on search engine or through a tool. Text mining is used for text retrieval and categorization. This paper focus on every word of a textual document whose frequency or occurrence in a textual document is high and those words has its own meaning i.e. they are stand-alone words. So we have developed a tool which will extract the details of textual data for a user in summarized form and the information subsequently is sufficient to know about a textual file.

Keywords: Text Mining, Morphology, n-gram, categorization, information extraction, text retrieval.