Key Phrase Extraction Using Recurrent Neural Network
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 | Popularity: 6.1 / 10


     

Key Phrase Extraction Using Recurrent Neural Network

Aakib Jabbar, Preeti Sondhi


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


DOI: https://www.doi.org/10.21275/SR21316173517


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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/getabstract.php?paperid=SR21316173517, DOI: https://www.doi.org/10.21275/SR21316173517

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