Social-media data, specifically twitter data can be useful in helping to understand political trends and themes.
This code uses to the R rtweet and search_tweets to scrape tweet data from twitter to understand:
- Wich democrat candidates are trending more on twitter?
- What language is used to describe the different candidates?
- Where are candidates trending (geo-location and cities)?
- What reasons are they trending for?
- Does sentiment towards the candidates vary over time, if so how short a period?
Using a collection of R's Network and Sentiment analysis libaries allows us to dig deeper into these trends.
**N.B: This is a working project which will be updated regularly