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

My research uses Twitter data to train a model that predicts sentiments in comments on online platforms like Reddit or Facebook, giving insight into these, otherwise anonymous, users' thoughts. I would also detail how the model was built and challenges faced along the way. This would lead to a short concluding discussion on the broad possibilities of this technology, ranging from detecting radicalization on the web to customer reviews on Amazon. This would relate it back to real-world applications that matter to everyone, not just those in the tech sphere.
Andy Kim is a junior at Deerfield Academy. Ever since coding for the first time in elementary school, Andy has been passionate about all things computer science. He has pursued research in a variety of fields, including astrophysics, facial recognition, as well as sentiment analysis, the topic of his talk.
Andy is fascinated with harnessing the power of machine learning to analyze human communication. He believes as more and more of our lives become digitized, sentiment analysis will become a valuable tool in evaluating our digital interactions. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx

[@aasifmalikshaik1738]

Analysing pictures: RGB vectors (3 numbers) Analysing words: word vectors (n-dimensional) NLP, sentiment analysis data cleaning: remove punctuations, words like "as", 'if", etc. spell check, internet slangs (a challenge...) Result: positive or negative sentiment Uses: Movie review, product review Mental therapy, check on radicalisation Self therapy through phones: "how am I?"

[@pallavisakhare3407]

Just a perfect explanation...👍

[@thandokuhlebrianmsane7043]

just learnt how to do my presentation. thank you sir😎😎

[@Datawhizsphere]

Practical Values made clear

[@prabhuramnagarajan1893]

Neat presentation about Sentimental analysis, and good future vision

[@recording.clouds]

I am sorry for this comment but this man has an thespian inside of him wanting to get out

[@milesmoose]

This was adorable to read. I see it too. I hope he found his calling.

[@hudaa3264]

brilliant young man!

[@tashanamshahbaz3954]

Explanation is just amazing.🤩

[@carltoncotter2614]

I'm 97% sure I can see a Tiger Mom here.

[@HA-bc4pc]

Hahaha

[@milesmoose]

Like he’s the child of a tiger mom? Lol

[@chetanverse]

Such a beautiful talk

[@ineshtickoo2530]

2:35 Joe Mama

[@raghavendrabodala7903]

good explanation about sentiment analysis.... I have done my project based on Sentiment Analysis... Thank you.... Good video

[@geroctapusssy]

what was your project about?

[@raghavendrabodala7903]

sentiment analysis by using Machine Learning techniques

[@mamuzouakpo376]

Impressive!!!

[@genevieved4261]

🙌🏽🙌🏽🙌🏽

[@hosleywerner2755]

Watchable at 1.5 speed

[@lucawulzer937]

Busy guy

[@Yellzman]

Hero 👍🏿

[@mahamandleeb6377]

Thank you

[@Max-hj6nq]

Thank you

[@cyborgatron177]

built like asian thanos

[@SS-dh5nt]

excellent presentation- very well explained to a novice like me

[@babyroo555]

nice thanks

[@ilikebobateaaa]

Amazing !

[@liamayathan5943]

awesome presentation dude

[@alexanderbautista2331]

Very funny did laugh!

[@malika7491]

❤️❤️🔥

[@UtenteGoogleAnonimo]

That’s very superficial understanding of linguistic meaning.

[@mansoor8228]

Nice😀

[@TheGreatCharlie123]

I hated it.