What it does

It can iterate through a csv file, giving the sentiment of a sentence.

How we built it

We built it using Python and it's Scikit-learn, numpy, and nltk libraries.

Challenges we ran into

Our time complexity was too high. We fixed this problem by binary searching through our dictionary.

Accomplishments that we're proud of

That each team member was able to contribute well to this machine learning program.

What we learned

We learned new things about machine learning and neural networks. We learned the different application of different activation formulas. Furthermore we learned the importance of setting moderate integer rates and momentum

What's next for Division: Sigma, Machine Learning

We plan to learn more about machine learning.

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