TOP-Rank: A Novel Unsupervised Approach for Topic Prediction Using Keyphrase Extraction for Urdu Documents

TOP-Rank: A Novel Unsupervised Approach for Topic Prediction Using Keyphrase Extraction for Urdu Documents

In Natural Language Processing (NLP), topic modeling is the technique to extract abstract information from documents with huge amount of text. This abstract information leads towards the identification of the topics in the document. One way to retrieve topics from documents is keyphrase extraction....

Full description

Bibliographic Details
Main Authors: Ahmad Amin, Toqir A. Rana, Natash Ali Mian, Muhammad Waseem Iqbal, Abbas Khalid, Tahir Alyas, Mohammad Tubishat
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Topic extraction
top-rank
keyphrase extraction
topic prediction
Urdu positional ranking
Online Access:https://ieeexplore.ieee.org/document/9265205/

Internet

https://ieeexplore.ieee.org/document/9265205/

Similar Items