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The content of a text is mainly defined by keywords and named entities occurring in it. In particular for news articles, named entities are usually important to define their semantics. However, named entities have ontological features, namely, their aliases, types, and identifiers, which are hidden from their textual appearance. In this paper, we explore weighted combinations of those latent named...
This work focuses on some aspects of automatic text processing by using a metric named po defined in a working prototype WIB (Web Intelligent Browser). The word weighting generated by this metric is defined with morphosyntactic considerations and allows the categorization of text words in fuzzy clusters. This weighting could also be used as a model of the original text at a sentence and paragraph...
With the increase in the number of electronic documents, it is hard to manually organize, analyze and present these documents efficiently. Document clustering, which automatically groups similar or related documents together, has been used in practical applications to understand the contents and structures of documents. Although a variety of methods and algorithms have been proposed, it is still a...
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