In this video we'll be building our own Twitter Sentiment Analyzer in just 14 lines of Python. It will be able to search twitter for a list of tweets about any topic we want, then analyze each tweet to see how positive or negative it's emotion is.
The coding challenge for this video is here:
https://github.com/llSourcell/twitter...
Naresh's winning code from last episode:
https://github.com/Naresh1318/GenderC...
Victor's Runner up code from last episode:
https://github.com/Victor-Mazzei/ml-g...
I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/
More on TextBlob:
https://textblob.readthedocs.io/en/dev/
Great info on Sentiment Analysis:
https://www.quora.com/How-does-sentim...
Great sentiment analysis api:
http://www.alchemyapi.com/products/al...
Read over these course notes if you wanna become an NLP god:
http://cs224d.stanford.edu/syllabus.html
Best book to become a Python god:
https://learnpythonthehardway.org/
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On this page of the site you can watch the video online Twitter Sentiment Analysis - Learn Python for Data Science #2 with a duration of 06 minute 53 second in good quality, which was uploaded by the user Siraj Raval 14 October 2016, share the link with friends and acquaintances, this video has already been watched 399,921 times on youtube and it was liked by 6.1 thousand viewers. Enjoy your viewing!