Inspiration

As working on NLP projects, I will not only be able to test my strengths and weaknesses, but I will also gain exposure that can be immensely helpful to boost my career in ML & AI.

What it does

It can take any text document to train itself for later classification on semantic meaning, after training I used it on a long speech text where it was able to find out the semantic meaning at up to 79.2% accuracy.

How we built it

I built it using the python language and nltk library for NLP.

Challenges we ran into

Stop words & punctuations were some of the challenges I ran into, but I removed them by using appropriate techniques.

Accomplishments that we're proud of

Accuracy ~ 80%

What we learned

NLP

What's next for NLP Playground

Twitter semantic analyzer

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