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Understanding Covid-19 Pandemic through Social Media Discussion

Project Information

ai, data-analysis, hpc-getting-started, hpc-tools, natural-language-processing, programming, programming-best-practices, programming-for-hpc, python
Project Status: In Progress
Project Region: CAREERS
Submitted By: Gaurav Khanna
Project Email: sli@bryant.edu
Project Institution: Bryant University
Anchor Institution: CR-University of Rhode Island

Mentors: Suhong Li
Students: Brenna Rojek

Project Description

Dr. Li has been collecting covid-19 tweets since March 2020 and currently has about 1.2 billion tweets. She is still collecting the tweets and expects to have more in the future. This project focuses on the understanding of the impact of covid-19 pandemic through social media discussion on Twitter. The following topics will be explored: 1). What are the top topics discussed regarding covid-19? How has the discussion of the topics changed over time? 2). What is sentiment/emotion of the topic by time, location, and gender? and 3). How to identify misinformation/fake news about covid-19.

The student will work on this project from start to finish using various data analytic methodology including data exploration, topic modelling, natural language processing and machine learning.

Additional Resources

Launch Presentation:

Project Information

ai, data-analysis, hpc-getting-started, hpc-tools, natural-language-processing, programming, programming-best-practices, programming-for-hpc, python
Project Status: In Progress
Project Region: CAREERS
Submitted By: Gaurav Khanna
Project Email: sli@bryant.edu
Project Institution: Bryant University
Anchor Institution: CR-University of Rhode Island

Mentors: Suhong Li
Students: Brenna Rojek

Project Description

Dr. Li has been collecting covid-19 tweets since March 2020 and currently has about 1.2 billion tweets. She is still collecting the tweets and expects to have more in the future. This project focuses on the understanding of the impact of covid-19 pandemic through social media discussion on Twitter. The following topics will be explored: 1). What are the top topics discussed regarding covid-19? How has the discussion of the topics changed over time? 2). What is sentiment/emotion of the topic by time, location, and gender? and 3). How to identify misinformation/fake news about covid-19.

The student will work on this project from start to finish using various data analytic methodology including data exploration, topic modelling, natural language processing and machine learning.

Additional Resources

Launch Presentation: