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 ...

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 ...

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 ...