Sentiment Evaluation: extracting emotion through machine learning | Andy Kim | TEDxDeerfield

My investigation works by using Twitter knowledge to train a product that predicts sentiments in remarks on on the web platforms like Reddit or Facebook, offering perception into these, otherwise anonymous, users’ views. I would also detail how the design was crafted and issues confronted together the way. This would lead to a small concluding dialogue on the wide opportunities of this engineering, ranging from detecting radicalization on the website to buyer evaluations on Amazon. This would relate it back to real-environment apps that matter to everybody, not just individuals in the tech sphere.
Andy Kim is a junior at Deerfield Academy. Ever due to the fact coding for the 1st time in elementary college, Andy has been passionate about all matters personal computer science. He has pursued investigate in a wide variety of fields, together with astrophysics, facial recognition, as properly as sentiment examination, the subject matter of his communicate.
Andy is fascinated with harnessing the electric power of machine learning to analyze human interaction. He believes as extra and a lot more of our lives become digitized, sentiment analysis will turn into a valuable instrument in assessing our electronic interactions. This discuss was given at a TEDx celebration making use of the TED conference structure but independently organized by a nearby neighborhood. Master more at https://www.ted.com/tedx

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