Effective text data extraction using hierarchical clustering technique

Abstract

In the digital era, text plays an important role it has come forward in a variety of data mining applications. In text mining, information are extracted and clustered from an unstructured data-set. For efficient retrieval many procedures are involved. Text mining is used in a variety of data mining approaches such as market research, survey research, statistical process and more. The objective of this paper is to analyze the relevant data that leads to a novel multidimensional data mining package. The method is based on the use of text mining. Data collection and analysis of data related to the text of a real-world test are also presented.