Making good choices of non-redundant n-gramwords

A new complete proposal to solve the problem of automatically selecting good and non redundant n-gram words as attributes for textual data is proposed. Generally, the use of n-gram words is required to improve the subjective interpretability of a text mining task, with n ges 2. In these cases, the n...

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Bibliographische Detailangaben

Hauptverfasser:	Moura, Maria Fernanda, Nogueira, Bruno Magalhaes, da Silva Conrado, Merley, dos Santos, Fabiano Fernandes, Rezende, Solange Oliveira
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial intelligence Data mining Decision making Frequency estimation Machine learning Manuals Mathematics Proposals Supervised learning Text mining
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