Twitter API with Python: Part 3 - Analyzing Tweet Data

August 4, 2018 comments 109 Reads

In this video, we will continue with our use of the Tweepy Python module and the code that we wrote.
The goal of this video will be to do some very cursory analysis on the tweets that we are able to extract. In order to do so, we will be making use of the numpy and pandas modules in Python. Specifically, we will be storing the tweet data in a pandas data frame for further analysis and organization.
Relevant Links:
Part 1: https://www.youtube.com/watch?v=wlnx-7cm4Gg
Part 2: https://www.youtube.com/watch?v=rhBZqEWsZU4
Part 3: https://www.youtube.com/watch?v=WX0MDddgpA4
Part 4: https://www.youtube.com/watch?v=w9tAoscq3C4
Part 5: https://www.youtube.com/watch?v=pdnTPUFF4gA
Tweepy Website:
http://www.tweepy.org/
Cursor Docs:
http://docs.tweepy.org/en/v3.5.0/cursor_tutorial.html
API Reference:
http://docs.tweepy.org/en/v3.5.0/api.html
GitHub Code for this Video:
https://github.com/vprusso/youtube_tutorials/tree/master/twitter_python/part_3_analyzing_tweet_data
My Website:
vprusso.github.io
Do you like the development environment I’m using in this video? It’s a customized version of vim that’s enhanced for Python development. If you want to see how I set up my vim, I have a series on this here:
http://bit.ly/lp_vim
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