Rafael del-Hoyo-Alonso

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This paper presents an extension of the Self Organizing Map model called Associative SOM that is able to process different types of input data in separated data-paths. The ASOM model can easily deal with situations of incomplete data-patterns and incorporate class labels for supervisory purposes. The ASOM is successfully compared with Multilayer Perceptrons(More)
This article describes how the assemble of several opinion analysis techniques can improve the accuracy or in other NLP problems where the available size of the training corpus is small compared to the space of hypotheses and therefore should be explored a range of strategies. One of the strategies is based in a new way to include morpho-syntactic features(More)
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