Unsupervised Key Phrase Extraction for Multi Document

Aluri brahma reddy.Dr.Vaka Murali mohan.Dr.Kanaka durga Returi.

Vol 3 No 3 (2019): Volume 3, Issue 3, March 2019 | Pages: 40-44

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 21-01-2022

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Abstract
Keyword Extraction is one of the simplest ways to leverage text mining for providing business value. It can automatically identify the most representative terms in the document. Such extracted keywords can be used for various applications. They can be used to summarize the underlying theme of a large document with just a few terms. They are also valuable as metadata for indexing and tagging the documents. They can likewise be used for clustering similar documents. For instance, to showcase relevant advertisements on a webpage, we could extract keywords from the webpage, find matching advertisements for these keywords, and showcase those.
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