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Machine Learning on the COVID-19 Pandemic, Human Mobility and Air Quality: A Review
The ongoing COVID-19 global pandemic is affecting every facet of human lives (e. g., public health, education, economy, transportation, and the environment).
Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment
This study attempts to explore the factors associated with positive and negative sentiments of the people about reopening the economy, in the United States (US) amidst the COVID-19 global crisis.
Feeling Like It is Time to Reopen Now? COVID-19 New Normal Scenarios based on Reopening Sentiment Analytics
This study analyzes public sentiment using Twitter Data, time-aligned to COVID-19, to identify dominant sentiment trends associated with the push to 'reopen' the economy.
COVID-19 Public Sentiment Insights and Machine Learning for Tweets Classification
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information.
Automated Word Prediction in Bangla Language Using Stochastic Language Models
Word completion and word prediction are two important phenomena in typing that benefit users who type using keyboard or other similar devices.
