Content and Sentiment Analysis of The New York Times Coronavirus (2019-nCOV) Articles with Natural Language Processing (NLP) and Leximancer (original ) (raw )Qualitative Content Analysis of The New York Times Coronavirus (2019-n-COV) Articles with Natural Language Processing (NLP) and Leximancer
Sezai Tunca
View PDFchevron_right
Monitoring COVID-19 pandemic through the lens of social media using natural language processing and machine learning
Yang Liu
Health Information Science and Systems, 2021
View PDFchevron_right
CO.ME.T.A. - covid-19 media textual analysis. A dashboard for media monitoring
Rocco Mazza
2020
View PDFchevron_right
Revealing the Reflections of the Pandemic by Investigating COVID-19 Related News Articles Using Machine Learning and Network Analysis
Ulya Bayram
Journal of Information Technologies, 2022
View PDFchevron_right
Unmasking the conversation on masks: Natural language processing for topical sentiment analysis of COVID-19 Twitter discourse
Kristin Bennett
2020
View PDFchevron_right
The Covid-19 Crisis: An NLP Exploration of the French Twitter Feed (February-May 2020)
Christophe Benavent
Social Computing and Social Media: Applications in Marketing, Learning, and Health, 2021
View PDFchevron_right
Sentiment Analysis of Covid-19 As A Social Media Pandemic
cahyo prianto
2020
View PDFchevron_right
Content Analysis of Readers’Comments on Media Aggregator as Feedback and Form of Public Opinion About COVID-19
Joe Harrianto Setiawan
ASPIRATION Journal
View PDFchevron_right
Leveraging Natural Language Processing to Understand Public Leveraging Natural Language Processing to Understand Public Outlook Towards the Influenza Vaccination Outlook Towards the Influenza Vaccination
Ankita Agarwal
View PDFchevron_right
Towards a Sentiment Analysis of Tweets from Online Newspapers Regarding the Coronavirus Pandemic
Angelica Lo Duca
HighTech and Innovation Journal, 2021
View PDFchevron_right
News media in crisis: a sentiment and emotion analysis of US news articles on unemployment in the COVID-19 pandemic
lingli yu
Humanities & Social Sciences Communications, 2024
View PDFchevron_right
Understanding the Applications of Natural Language Processing on COVID-19 Data
ADITYA PAUL
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2020
View PDFchevron_right
The Conversation around COVID-19 on Twitter—Sentiment Analysis and Topic Modelling to Analyse Tweets Published in English during the First Wave of the Pandemic
Javier J . Amores
Journalism and Media
View PDFchevron_right
A Computer-Based Text Analysis of Al Jazeera, BBC, and CNN News Shares on Facebook: Framing Analysis on Covid-19 Issues
Aftab Hossain
SAGE Open, 2022
View PDFchevron_right
A Content Analysis of Coronavirus Tweets in the United States Just Prior to the Pandemic Declaration
Amanda Damiano
Cyberpsychology, Behavior, and Social Networking, 2020
View PDFchevron_right
Evaluation of the Content of National News Reflected on the Internet about Covid-19 Pandemic
merve Özzeybek
Aurum Journal of Health Sciences, 2020
View PDFchevron_right
Sentiment Analysis of Social Media Data on COVID-19
KRISH CHOPRA
2023
View PDFchevron_right
The Analysis of the COVID-19 Image Evolution in English Mass Media Discourse
Anna Tikhomirova
Professional Discourse & Communication, 2022
View PDFchevron_right
Sentiment Analysis in Understanding the Potential of Online News in the Public Health Crisis Response
Juciano Lacerda
International Journal of Environmental Research and Public Health
View PDFchevron_right
From Positive to Death: A Corpus-Based Semantic Analysis of COVID-19 Representation in Malaysian English News Reports
Alex Chang
2021
View PDFchevron_right
Systematic study of twitter sentiment analysis on COVID-19 datasets using various techniques
Dr. Shivani Dubey
Pharma innovation, 2019
View PDFchevron_right
Public Perception Towards Children's COVID-19 Vaccination with Natural Language Processing
Elif Kılıç DELİCE
Research Square (Research Square), 2023
View PDFchevron_right
A Content and Sentiment Analysis of Greek Tweets during the Pandemic
Vasiliki Vrana
Sustainability
View PDFchevron_right
Text Analysis of Evolving Emotions and Sentiments in COVID-19 Twitter Communication
Veda Storey
Cognitive Computation
View PDFchevron_right
COVID-19 Vaccination-Related Sentiments Analysis: A Case Study Using Worldwide Twitter Dataset
Ernesto Lee
Healthcare
View PDFchevron_right
Content Analysis of the Controversy Over the Communication of Government Policies in Handling Covid-19 in Online Media
Panji Dwi
Proceeding of LPPM UPN "VETERAN" Yogyakarta Conference Series 2020- Political and Social Science Series, 2020
View PDFchevron_right
Discourse Analysis of Covid-19 in Persian Twitter Social Networks Using Graph Mining and Natural Language Processing
Omid Shokrollahi
arXiv (Cornell University), 2021
View PDFchevron_right
The Emotional Impact of COVID-19 News Reporting: A Longitudinal Study Using Natural Language Processing
Erkan Alkan
Human behavior and emerging technologies, 2023
View PDFchevron_right
A Corpus-Based Study of Readers’ Comments on Online News on the Policies Adopted by the Jakarta Governor During the COVID-19 Pandemic
Dadang Suganda
Corpus Pragmatics
View PDFchevron_right