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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