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IIJEC:Volume 5, Issue 2, February 2017


A Genetic Programming Framework for Topic Discovery from Online Digital Library
Author Name:
Mrs. Vijashree Kasturba
ABSTRACT Various topic extraction techniques for digital libraries are projected over the past decade. usually the subject extraction system needs an oversized range of options and complex lexical analysis. whereas these options and analysis ar effective to represent the applied math characteristics of the document, they did not capture the high level linguistics. during this paper, we tend to gift a replacement approach for topic extraction. Our approach combines users click stream information with ancient lexical analysis. From our purpose of read, the users click stream directly reflects human understanding of the high-level linguistics within the document. moreover, a simple, however effective, piecewise linear model for topic evolution is projected. we tend to apply genetic formula to estimate the model and extract topics. Experiments on the set folks congress digital library documents demonstrate that our approach achieves higher accuracy for the subject extraction than ancient strategies.
Cite this article:
Mrs. Vijashree Kasturba , " A Genetic Programming Framework for Topic Discovery from Online Digital Library" , IPASJ INTERNATIONAL JOURNAL OF ELECTRONICS & COMMUNICATION (IIJEC) , Volume 5, Issue 2, February 2017 , pp. 011-014 , ISSN 2321-5984.
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