Just finishing up a class where I have been doing a lot of social media mining and analytics and I thought it would be a fun given all the banter about #fakenews to do my own POTUS sentiment analysis.

• Open twitter stream with python and tweepy and grab tweets with #trump & #potus hashtags
• Sentiment analysis with textblob
• Index tweets in elasticsearch
• Create visualizations using kibana

Note:  The above processes are running and the visualizations below are live.  Refresh page to refresh data.

Potus Sentiment

Disclaimer:  This is real data pulled from the twitter API.  I can assure you there is zero motivation or interest here beyond the raw data, the sheer volume of data given the topic, and of course I realize this is relevant to many others which is what makes it interesting.