A Capable Text Data Mining Using in Artificial Neural Network

Text mining efforts to innovate new, previous unknown or hidden data by automatically extracting collection of information from various written resources. Applying knowledge detection method to formless text is known as Knowledge Discovery in Text or Text data mining and also called Text Mining. Most of the techniques used in Text Mining are found on the statistical study of a term either word or phrase. There are different algorithms in Text mining are used in the previous method. For example Single-Link Algorithm and Self-Organizing Mapping(SOM) is introduces an approach for visualizing high-dimensional data and a very useful tool for processing textual data based on Projection method. Genetic and Sequential algorithms are provide the capability for multiscale representation of datasets and fast to compute with less CPU time based on the Isolet Reduces subsets in Unsupervised Feature Selection. We are going to propose the Vector Space Model and Concept based analysis algorithm it will improve the text clustering quality and a better text clustering result may achieve. We think it is a good behavior of the proposed algorithm is in terms of toughness and constancy with respect to the formation of Neural Network.