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Neural Networks for the Web Services ClassificationSilva, Jesús, Senior Naveda, Alexa, Solórzano Movilla, José, Niebles Núẽz, William, Hernández Palma, Hugo 07 January 2020 (has links)
This article introduces a n-gram-based approach to automatic classification of Web services using a multilayer perceptron-type artificial neural network. Web services contain information that is useful for achieving a classification based on its functionality. The approach relies on word n-grams extracted from the web service description to determine its membership in a category. The experimentation carried out shows promising results, achieving a classification with a measure F=0.995 using unigrams (2-grams) of words (characteristics composed of a lexical unit) and a TF-IDF weight.
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