[HTML][HTML] A systematic review of social media-based sentiment analysis: Emerging trends and challenges

QA Xu, V Chang, C Jayne - Decision Analytics Journal, 2022 - Elsevier
In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …

BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets

JH Joloudari, S Hussain, MA Nematollahi… - Social Network Analysis …, 2023 - Springer
The COVID-19 pandemic has led to the emergence of social media platforms as crucial
channels for the dissemination of information and public opinion. Comprehending the …

Sentiment analysis of COVID-19 tweets using deep learning and lexicon-based approaches

BS Ainapure, RN Pise, P Reddy, B Appasani… - Sustainability, 2023 - mdpi.com
Social media is a platform where people communicate, share content, and build
relationships. Due to the current pandemic, many people are turning to social networks such …

Semantic Sentiment Classification for COVID‐19 Tweets Using Universal Sentence Encoder

IE Fattoh, F Kamal Alsheref, WM Ead… - Computational …, 2022 - Wiley Online Library
The spread of data on the web has increased in the last twenty years. One of the reasons is
the appearance of social media. The data on social sites describe many real‐life events in …

[HTML][HTML] Digital post-disaster risk management twinning: A review and improved conceptual framework

U Lagap, S Ghaffarian - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Digital Twins (DT) is the real-time virtual representation of systems, communities, cities, or
even human beings with the substantial potential to revolutionize post-disaster risk …

[HTML][HTML] A comparison of ChatGPT and fine-tuned Open Pre-Trained Transformers (OPT) against widely used sentiment analysis tools: sentiment analysis of COVID …

JA Lossio-Ventura, R Weger, AY Lee… - JMIR Mental …, 2024 - mental.jmir.org
Background Health care providers and health-related researchers face significant
challenges when applying sentiment analysis tools to health-related free-text survey data …

Sentiment Analysis in the Age of COVID-19: A Bibliometric Perspective

A Sandu, LA Cotfas, C Delcea, L Crăciun… - Information, 2023 - mdpi.com
The global impact of the COVID-19 pandemic has been profound, placing significant
challenges upon healthcare systems and the world economy. The pervasive presence of …

Artificial intelligence for topic modelling in Hindu philosophy: Mapping themes between the Upanishads and the Bhagavad Gita

R Chandra, M Ranjan - Plos one, 2022 - journals.plos.org
The Upanishads are known as one of the oldest philosophical texts in the world that form the
foundation of Hindu philosophy. The Bhagavad Gita is the core text of Hindu philosophy and …

Sentiment analysis of social media during coronavirus and its correlation with indian stock market movements

AA Mir - Integrated Journal of Science and Technology, 2024 - ijstindex.com
The COVID-19 pandemic has deeply influenced our emotional state, leading to significant
volatility in the Indian stock market throughout the year. Emotions have become a key factor …

A new infodemiological approach through Google Trends: longitudinal analysis of COVID-19 scientific and infodemic names in Italy

A Rovetta, L Castaldo - BMC medical research methodology, 2022 - Springer
The scientific community has classified COVID-19 as the worst pandemic in human history.
The damage caused by the new disease was direct (eg, deaths) and indirect (eg, closure of …