Information Extraction using Tokenization And Clustering Methods

Abstract

World Wide Web has become a powerful platform for retrieval and storage of information. It is a collection of text, image and multimedia files in structured, semi structured and unstructured form. These tremendous volumes of information cannot be processed so simply. An efficient and useful algorithm is required to discover information from these data. Text mining is a method for extracting meaningful information from large volume of data. Unstructured text is easily processed by humans but it is harder for machines. Text mining task involve methods such as tokenization, feature extraction and clustering.