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Project repo for the mapping natural disaster locations from social media project
Make the map more cromulent, and embiggen so it takes all of the area.
Handle data with SQL rather than csvs
Work on dealing with memory issues on shiny deployment.
Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of
Crisis-related Messages
Successfully ran OR query over tweets, negating the need for a list. Could also do compose to add "OR" after each term
I'm not sure if I get the same 500 results each time.
Due outs:
[ By COB 23 March
Need to find a "disaster" corpus or glossary, pull out the terms and create long search string.]
By COB 25 March]
[ Handle the JSON string of the parsing: Try two solutions - make everything a json then flatten OR just try to flatten on column.]
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