International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science & Engineering | India | Volume 10 Issue 3, March 2021


Key Phrase Extraction Using Recurrent Neural Network

Aakib Jabbar | Preeti Sondhi [7]


Abstract: In natural language processing, key phrase extraction is a necessary activity that helps map documents to a collection of emblematic phrases. For many uses, such as publication ranking, query-based engines, such as Google Scholar, etc. , these sentences can be used. A small set of terms, key phrases and keywords which define the meaning of the document are described by extracting keywords. Keyword search enables efficient search of large document sets.


Keywords: Key phrases, Neural Networks, RNN, LSTM etc


Edition: Volume 10 Issue 3, March 2021,


Pages: 1720 - 1723


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How to Cite this Article?

Aakib Jabbar, Preeti Sondhi, "Key Phrase Extraction Using Recurrent Neural Network", International Journal of Science and Research (IJSR), Volume 10 Issue 3, March 2021, pp. 1720-1723, https://www.ijsr.net/get_abstract.php?paper_id=SR21316173517

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