- Topic Modeling and Sentiment Analysis of COVID-19 Press Conference Transcripts
- Project Year:
2020
- REU Student (s):
Therese Azevedo | Sonoma State University CA
- Student 1 Institution:
Sonoma State University
- Project Mentor:
Christie Nelson
- Project Mentor Area:
Masters of Business and Science in Analytics and CCICADA
- Project Abstract:
The current pandemic as a result of COVID-19 has created a new sense of reality. Across the nation, state governors have held press conferences related to the pandemic. Topic modeling, word frequencies, and sentiment analysis were conducted on press conference transcripts from various states. By incorporating these techniques into the study, weekly themes and word frequencies were revealed as well as monthly analyses of sentiment pertaining to the data. With these results, the researchers are better able to develop a comprehensive resource allocation model.
