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...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | en |
| Published: |
ScholarWorks @ UVM
2019
|
| Subjects: | |
| Online Access: | https://scholarworks.uvm.edu/graddis/1006 https://scholarworks.uvm.edu/cgi/viewcontent.cgi?article=2006&context=graddis |