How to make a tailored TED talk

Yesu Feng

TED talks are rated by words

TED talks are rated by words

TED talks are rated by words

opposite

TED talks are rated by words

opposite

similar

Generate class labels for talks

•  Cluster talks based on their rating words count

Use associated rating words to classify TED talks

Predictive features: talk, caption, speaker information

Predictive features: talk, caption, speaker information

Predict the ratings using logistic regression

Tested on a test set of 350 talks

Trained on a training set (~1500 talks) hyperparameter tuned with cross validation

Logistic regression model built with 87 features

Label fractions of TED talks

0.31 0.27

0.23

0.12 0.07

Predict the ratings using logistic regression

0.62

0.51

0.64

0.34

0.59

0.31 0.27

0.23

0.12 0.07

How to make an emotionally touching TED talk

•  Courageous, Inspiring or Beautiful •  Topic: Women reshaping the world, Mission blue voyage, Live

music, Listening to teachers

How to make an emotionally touching TED talk

•  Courageous, Inspiring or Beautiful •  Topic: Women reshaping the world, Mission blue voyage, Live

music, Listening to teachers •  Using story: “story”, “journey”, “experience”

How to make an emotionally touching TED talk

•  Courageous, Inspiring or Beautiful •  Topic: Women reshaping the world, Mission blue voyage, Live

music, Listening to teachers •  Using story: “story”, “journey”, “experience”

•  Don’t talk too fast!

How about the other classes of talks: https://github.com/yesufeng/tedtalks

About me

Ph.D. from Duke University Thesis: Extending signal lifetime of hyperpolarized MRI

More on this project: https://github.com/yesufeng/tedtalks