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Procedures for the precise analysis of massive textual databases.
Unsupervised Artificial Neural Networks have been used in the analysis of text. In general, they provide richer, deeper and more finely detailed clusters than co-occurrence models because of their ability to consider ...
A non-hierarchical neural network approach for analyzing textual data. (Poster)
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 ...
Artificial neural networks for pattern recognition in multilingual text. (Poster)
Neural networks are able to discover patterns in data; it need not be textual data. When a neural network is used to analyze textual data, however, it does not need grammar, heuristics, parsing or other linguistic artifacts ...