Building a Trump/Obama Tweet Classifier with 98% accuracy in 1 hour!

Tuesday, June 19, 2018 - 18:00
London Data Science #ODSC

Title of Talk:
Building a Trump/Obama Tweet Classifier with 98% accuracy in 1 hour!

6:00pm - 6:30pm - Refreshments
6:30pm - 7:30pm - Talk
7:30pm - 8:30pm - Drinks & Networking

Speaker: Ben Ellerby


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Ben Ellerby is an Architect Developer, working with startups to launch MVP's and large corporates to deliver in startup speed. He is a tech at heart, loving to code, participating in hackathons, guest lecturing as part of the University of Southampton CompSci course and acting as a tech advisor to multiple startups.

Abstract from Ben:
When it comes to Machine Learning it can be hard to find small-scale real-world applications that deliver good results.

To find such an application I challenged myself to build a Naive Bayesian tweet classifier. Classifying the author of any given tweet as President Obama or President Trump respectively, resulting in 98% accuracy!

This talk will go through scraping the data, building the classifier (without 'recoding the wheel') and showing how the model was verified.

Along with some live coding of the whole thing in JavaScript!

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