Text Clustring with Fuzzy Measure of Descriptors Weight

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Provided by: Creative Commons
Topic: Big Data
Format: PDF
The authors' work consists in implementing a new two-dimensional descriptor in text mining. After the morphosyntaxic analysis of the words using the techniques of automatic treatment of the natural language, there is lost additional information which they will not neglect but rather put in a new dimension. This paper involves a rewriting of weight descriptors in documents by a new \"Fuzzy\" measure. The application of this approach on an Arabic corpus involved a transformation of text words in a set of pairs (root, pattern) to be descriptors of their corpus.
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