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Text and Sentiment Analysis Using Python and R

Code for the Pittsburgh Machine Learners Meetup on April 12th, 2018.

I presented this project to the Pittsburh Machine Learners Meetup group. Using Python, I scraped reviews of a pressure cooker sold on Amazon. These were labeled as either positive (4 or 5 stars) and negative (1,2, or 3 starts). I then used R to analyze the text. I concluded that positive reviewers enjoyed the variety of recipes that could be made with the pressure cooker while the negative reviewers were frustrated by the limited warranty.

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Presentation I Made to the PGH Machine Learners Meetup Group

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