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Paper Type

ERF

Paper Number

1423

Description

With the onset of COVID-19, remote learning has become a new standard and is slowly being embraced by students and teachers. This research article deduces positive and negative sentiment towards remote learning during the COVID-19 era by conducting sentiment analysis on Tweets geolocated in New York City (NYC), NY, USA. Furthermore, we explore potential associations between local geospatial information (such as demographic and psychographic data) and Twitter sentiment. In our preliminary analysis, we articulate a model that describes how these sentiments are correlated with individuals’ demographic information, socioeconomic status, and psychographic traits. Finally, based on our findings, we plan to explore the opportunities and challenges of remote learning in this community.

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Aug 10th, 12:00 AM

Opportunities and Challenges of Remote Learning in the COVID Era – A Study Based on Sentiment Analysis of Geotagged Tweets

With the onset of COVID-19, remote learning has become a new standard and is slowly being embraced by students and teachers. This research article deduces positive and negative sentiment towards remote learning during the COVID-19 era by conducting sentiment analysis on Tweets geolocated in New York City (NYC), NY, USA. Furthermore, we explore potential associations between local geospatial information (such as demographic and psychographic data) and Twitter sentiment. In our preliminary analysis, we articulate a model that describes how these sentiments are correlated with individuals’ demographic information, socioeconomic status, and psychographic traits. Finally, based on our findings, we plan to explore the opportunities and challenges of remote learning in this community.

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