Inspiration

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!

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