An artificial neural network that recognizes an ordered set of words in text mining

Bavan, A. S. (2009) An artificial neural network that recognizes an ordered set of words in text mining. In: 2009 International conference on the current trends in information technology, 15th-16th Dec 2009, Dubai.

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Abstract

This paper presents an artificial neural network based tool that locates an ordered set of words in a text. The network model is essentially a single layer network similar to Hopfield model that uses a Hebbian approach to activate the feature layer nodes (see section 2). This model was initially developed to go with our Connectionist Associative Memory Model (CAMM) and later found to be useful in text mining tasks as well. Further additions of features are currently under way to generate statistics and structural graphs based on semantic relationships.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology
Item ID: 5193
Depositing User: Repository team
Date Deposited: 15 Apr 2010 15:01
Last Modified: 13 Oct 2016 14:19
URI: http://eprints.mdx.ac.uk/id/eprint/5193

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