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2018 | OriginalPaper | Buchkapitel

A Scaled Conjugate Gradient Backpropagation Algorithm for Keyword Extraction

verfasst von : Ankit Aich, Amit Dutta, Aruna Chakraborty

Erschienen in: Information Systems Design and Intelligent Applications

Verlag: Springer Singapore

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Abstract

In modern days, it is highly important that one can get the defining content from any desirable source. When it comes to excessively large documents, it becomes an issue to effectively get the most important parts of it. Every document’s main topic can be conveyed using a few defining words. This paper provides a novel approach to extract such words from a given document corpus. Domain-specific keyword extraction is the principle highlight of our work. A series of documents from a specific domain is provided to us as the working set, and identification of the top three to five words will be done to convey the documental message. Our experiments show an accuracy of 80.6%.

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Metadaten
Titel
A Scaled Conjugate Gradient Backpropagation Algorithm for Keyword Extraction
verfasst von
Ankit Aich
Amit Dutta
Aruna Chakraborty
Copyright-Jahr
2018
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-7512-4_67