Scroll and Sentiment Analysis to tweets , created with Python and Dash
The table above contains bunch of tweets collected , polarity and subjectivity
- Python > 3.5
- tweepy
- textblob
- dash
Pretty simple in fact ..
Connect and collect the tweets , delete the unuseful part and store them in dataFrame. In the whole process, this script works in basically in background. Go to apps.twitter.com to set that up if you need to
Read Query from user and send it to tweeterScroller.py , get the response and show it in a web format with two graphs after sentiment analysis done with textblob. The informations will be refreshed each 5 seconds to be updated.
Code is not finished yet, still a lot of work to be done to get everything clean and well written. Other graphs could be added, as well as, changing colors (never said that i have a good taste)