Applications In Sentiment Analysis And Machine Learning For Identifying Public Health Variables Across Social Media

Applications In Sentiment Analysis And Machine Learning For Identifying Public Health Variables Across Social Media

Twitter, a popular social media outlet, has evolved into a vast source of linguistic data, rich with opinion, sentiment, and discussion. We mined data from several public Twitter endpoints to identify content relevant to healthcare providers and public health regulatory professionals. We began by co...

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Bibliographic Details
Main Author: Clark, Eric Michael
Format: Others
Language:en
Published: ScholarWorks @ UVM 2019
Subjects:
Computational Linguistics
Data Science
Machine Learning
Public Health Monitoring
Sentiment Analysis
Social Media
Computer Sciences
Social and Behavioral Sciences
Online Access:https://scholarworks.uvm.edu/graddis/1006
https://scholarworks.uvm.edu/cgi/viewcontent.cgi?article=2006&context=graddis

Internet

https://scholarworks.uvm.edu/graddis/1006
https://scholarworks.uvm.edu/cgi/viewcontent.cgi?article=2006&context=graddis

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