Important Citation Identification by Exploding the Sentiment Analysis and Section-Wise In-Text Citation Weights-Reference-Cited by-同舟云学术

Important Citation Identification by Exploding the Sentiment Analysis and Section-Wise In-Text Citation Weights

Published:2022 Issue: Volume:10 Page:87990-88000
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nazir Shahzad¹,Asif Muhammad¹^ORCID,Ahmad Shahbaz¹^ORCID,Aljuaid Hanan²^ORCID,Iftikhar Rimsha¹,Nawaz Zubair³^ORCID,Ghadi Yazeed Yasin⁴^ORCID

Affiliation:

1. Department of Computer Science, National Textile University, Faisalabad, Pakistan

2. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University (PNU), Riyadh, Saudi Arabia

3. Department of Data Science, University of the Punjab, Lahore, Pakistan

4. Department of Computer Science/Software Engineering, Al Ain University, Abu Dhabi, United Arab Emirates

Funder

Princess Nourah bint Abdulrahman University Researchers Supporting Project, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09858147.pdf?arnumber=9858147

Reference41 articles.

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5. Landslide susceptibility analysis using weight of evidence

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