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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Aich, A., Dutta, A., Chakraborty, A. (2018). A Scaled Conjugate Gradient Backpropagation Algorithm for Keyword Extraction. In: Bhateja, V., Nguyen, B., Nguyen, N., Satapathy, S., Le, DN. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-10-7512-4_67
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DOI: https://doi.org/10.1007/978-981-10-7512-4_67
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