Application of Text Mining Based on Neural Network Computing

Abstract:

Today, numbers of documents that firms must process and with the extensive amounts of information available on the Internet, an automated intelligent method is needed to sort through all available documents or sites. It would be beneficial to start with grouping similar documents or sites together based on similarities. Classifying documents and sorting them into categories could be beneficial since in most cases, no one user would be interested in all the different categories of documents at the same time. Classifying a large number of documents would also make it easier to locate a specific document. In this paper, neural network computing based text mining (TM) and its application will be discussed.

• Periodical: Applied Mechanics and Materials (Volumes 278-280)
• Pages: 1972-1975
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.278-280.1972
• Online since: January 2013
• Authors: Guo Hong Zhou
• Keywords: Computing, Neural Network (NN), Text Mining

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