Twitter mining update #2
So I’ve just about beaten this Twitter mining thing to death but I’ve made a couple improvements that I think make another update worthwhile:
- I’ve built out the R Shiny App a little more to include some cool time-series analyzers for hashtag engagement
- I’ve created an R-Markdown file that details the end-to-end flow of the project
- I’ve organized the whole thing in a GitHub repository for your collective enjoyment
I’ve established a link to Twitter’s API using the rtweet package which I use to grab tweets from and about NOAA Fisheries. I’ve also created database tables in a SQL Server database to store these tweets. I refresh the database once-a-week by pulling the most recent 7 days worth of tweets and pushing them to the database. From there a run a script that updates the data called on by the Shiny App.
The GitHub Repository with all the code for the end-to-end project is here.
The interactive R Shiny App is here.