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
Please register in this link too: https://skillsmatter.com/meetups/10811-building-a-trump-obama-tweet-classifier-with-98-accuracy-in-1-hour
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.
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