We were really interested in machine learning, and thought this would be a fun take on it to get our feet wet.
What it does
A web application using NLP to create definitions for slang words based on context from tweets
How we built it
Using Python Flask. We created a vector representation of common words in tweets from the Twitter API, and used pattern matching methods to identify words related to the input slang word
Challenges we ran into
Connecting the front and back end; how to interpret tweet context
Accomplishments that we're proud of
We were able to successfully utilize a machine learning API!
What we learned
More about NLP and machine learning, and that we should commit to an idea sooner (lol)
What's next for Yo-setta Stone
Getting bigger data sets to train on to make the definitions more accurate, and making the front end more pretty!