ETCNN: Extra Tree and Convolutional Neural Network-based Ensemble Model for COVID-19 Tweets Sentiment Classification

Industry 4.0 technologies and their applications in fighting COVID-19 pandemic using deep learning techniques

(2022) Muhammad Ahmad et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Citation Context Analysis Using Combined Feature Embedding and Deep Convolutional Neural Network Model

(2022) Musarat Karim et al.   Applied Sciences-Basel

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

(2021) Furqan Rustam et al.   PLoS One

COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network

(2021) Aniello Castiglione et al.   IEEE Transactions on Industrial Informatics

The Role of Internet of Things to Control the Outbreak of COVID-19 Pandemic

(2021) Aniello Castiglione et al.   IEEE Internet of Things Journal

The pandemic of social media panic travels faster than the COVID-19 outbreak

(2020) A Depoux et al.   JOURNAL OF TRAVEL MEDICINE

Using Social Media to Mine and Analyze Public Opinion Related to COVID-19 in China

(2020) Xuehua Han et al.   International Journal of Environmental Research and Public Health

COVID 2019 outbreak: The disappointment in Indian teachers

(2020) Ritesh Bhat et al.   Asian Journal of Psychiatry

Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA

(2020) Klaifer Garcia et al.   APPLIED SOFT COMPUTING

What’s Happening Around the World? A Survey and Framework on Event Detection Techniques on Twitter

(2019) Zafar Saeed et al.   Journal of Grid Computing

Extraction of emotions from multilingual text using intelligent text processing and computational linguistics

(2017) Vinay Kumar Jain et al.   Journal of Computational Science

Use of Social Media for the Detection and Analysis of Infectious Diseases in China

(2016) Xinyue Ye et al.   ISPRS International Journal of Geo-Information

A novel social media competitive analytics framework with sentiment benchmarks

(2015) Wu He et al.   INFORMATION & MANAGEMENT