Extraction of Psychological Effects of COVID-19 Pandemic through Topic-Level Sentiment Dynamics
The rapid increase in COVID-19 cases has become the symbol of fear, anxiety, and panic among people around the globe. Mass media has played an active role in community education by addressing the health information of this pandemic. People interact by sharing their ideas and feelings through social...
Saved in:
Main Authors: | Abdul Razzaq, Touqeer Abbas, Sarfraz Hashim, Salman Qadri, Imran Mumtaz, Najia Saher, Muzammil Ul-Rehman, Faisal Shahzad, Syed Ali Nawaz |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2022/9914224 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Intelligent Topical Sentiment Analysis for the Classification of E-Learners and Their Topics of Interest
by: M. Ravichandran, et al.
Published: (2015-01-01) -
Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic
by: Denilson de Oliveira Silva, et al.
Published: (2024-12-01) -
Important Citation Identification by Exploding the Sentiment Analysis and Section-Wise In-Text Citation Weights
by: Shahzad Nazir, et al.
Published: (2022-01-01) -
BERT-BiGRU-Senti-GCN: An Advanced NLP Framework for Analyzing Customer Sentiments in E-Commerce
by: Muhammad Rizwan Rashid Rana, et al.
Published: (2025-02-01) -
Optimal Graphs in the Enhanced Mesh Networks
by: Muhammad Shahzad Akhtar, et al.
Published: (2020-01-01)