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/
Please share this video, like, comment and subscribe!
That's what keeps me going.
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Two Minute Papers Link:
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java sdk Twitter Sentiment Analysis - Learn Python for Data Science #2 | |
| 4,822 Likes | 4,822 Dislikes |
| 308,145 views views | 694K followers |
| People & Blogs | Upload TimePublished on 14 Oct 2016 |
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