Title

Sentiment Analysis Before and During COVID-19

Authors

Emily Musgrove, Ursinus CollegeFollow

Document Type

Paper

Publication Date

4-19-2023

Faculty Mentor

Hugo Montesinos-Yufa

Abstract

In this presentation I analyze the sentiment of texts from The Wall Street Journal, The New York Times and The Washington Post using the NRC and AFINN sentiment lexicons and the data found to analyze the relationship between the Covid-19 pandemic and connotative language use.

Comments

Presented as part of the Ursinus College Celebration of Student Achievement (CoSA) held April 19, 2023.

The downloadable MP4 video file has a run time of 7:21.

Sponsored by the Inclusive Data Science and Innovative Research Initiative.

Recommended Citation

Musgrove, Emily, "Sentiment Analysis Before and During COVID-19" (2023). Mathematics and Computer Science Presentations. 8.
https://digitalcommons.ursinus.edu/math_comp_pres/8