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

Downloads: 37

Research Paper | Computer Science Engineering | Volume 10 Issue 3, March 2021 | Pages: 1720 - 1723 | India


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

How to Cite?: Aakib Jabbar, Preeti Sondhi, "Key Phrase Extraction Using Recurrent Neural Network", Volume 10 Issue 3, March 2021, International Journal of Science and Research (IJSR), Pages: 1720-1723, https://www.ijsr.net/getabstract.php?paperid=SR21316173517, DOI: https://dx.doi.org/10.21275/SR21316173517

Download Citation: APA | MLA | BibTeX | EndNote | RefMan

Share This Research

Help this article reach readers, researchers and professionals.

Share activity is measured for research-engagement analytics. Only verified, unique public shares can support award tie-breaking.

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.

Download Article PDF


Rate This Article!

Top

Confirm Your Share

Enter your details so IJSR can confirm this sharing activity.

Your details are used to validate this share and protect the award process from duplicate or false activity.