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What is Text Mining Using Neural Networks about?

"The recent advances in information and communication technologies (ICT) have resulted in unprecedented growth in available data and information. Consequently, intelligent knowledge creation methods are needed. Organizations need efficient intelligent text mining methods for classification, categorization and summarization of information available at their disposal. Neural Networks have successfully been used in a wide variety of classification problems. The purpose of this dissertation is two-fold. First, applying neural networks in text mining. Second, dramatically reducing the document size by using only the summary (abstract) instead of the whole document without affecting performance. To achieve these goals several research questions had to be answered. For example, how can a document be presented in a format suitable to neural networks? Also, how and how much can a document be reduced in size without losing any valuable content? To answer the research questions posed in this study, 729 research papers were collected as data for the study. Those papers were published in MISQ in the period 1977-2004. Only the abstracts of those papers were used to reduce the document size. Thos

Author

Waleed A. Zaghloul

Publisher

ProQuest Dissertations & Theses

Published

2005

Language

EN

ISBN

9780542321191