Browsing Department of Information Science (public) by Subject "Non-hierarchical text analysis"
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(2008-01)Artificial neural networks excel at recognizing patterns in textual data. Its pattern recognition capability allows a neural network engine to assign weights representing the multiple connections among concepts. These ...