An Emergent Approach to Text Analysis Based on a Connectionist Model and the Web

Author： Cimino Mario G.C.A.   Vaglini Gigliola  

Publisher： MDPI

E-ISSN： 1999-4893|6|3|565-590

ISSN： 1999-4893

Source： Algorithms, Vol.6, Iss.3, 2013-09, pp. : 565-590

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Abstract

In this paper, we present a method to provide proactive assistance in text checking, based on usage relationships between words structuralized on the Web. For a given sentence, the method builds a connectionist structure of relationships between word n-grams. Such structure is then parameterized by means of an unsupervised and language agnostic optimization process. Finally, the method provides a representation of the sentence that allows emerging the least prominent usage-based relational patterns, helping to easily find badly-written and unpopular text. The study includes the problem statement and its characterization in the literature, as well as the proposed solving approach and some experimental use.

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