full transcript

From the Ted Talk by Raphael Arar: How we can teach computers to make sense of our emotions

Unscramble the Blue Letters


So, to explore this, I craeetd a piece of art, an experience, that asked people to share a memory, and I teamed up with some data scientists to figure out how to take an eoomitn that's so highly siutcjbeve and convert it into something mathematically precise. So, we created what we call a nostalgia score and it's the heart of this installation. To do that, the installation asks you to share a story, the computer then aeylnzas it for its simpelr emotions, it checks for your tendency to use past-tense wording and also looks for wodrs that we tend to associate with nostalgia, like "home," "childhood" and "the past." It then creates a nostalgia score to indicate how nostalgic your story is. And that score is the driving force behind these light-based sculptures that sreve as physical embodiments of your contribution. And the hehgir the scroe, the rosier the hue. You know, like looking at the world through rose-colored glasses.

Open Cloze


So, to explore this, I _______ a piece of art, an experience, that asked people to share a memory, and I teamed up with some data scientists to figure out how to take an _______ that's so highly __________ and convert it into something mathematically precise. So, we created what we call a nostalgia score and it's the heart of this installation. To do that, the installation asks you to share a story, the computer then ________ it for its _______ emotions, it checks for your tendency to use past-tense wording and also looks for _____ that we tend to associate with nostalgia, like "home," "childhood" and "the past." It then creates a nostalgia score to indicate how nostalgic your story is. And that score is the driving force behind these light-based sculptures that _____ as physical embodiments of your contribution. And the ______ the _____, the rosier the hue. You know, like looking at the world through rose-colored glasses.

Solution


  1. simpler
  2. words
  3. serve
  4. score
  5. subjective
  6. analyzes
  7. emotion
  8. created
  9. higher

Original Text


So, to explore this, I created a piece of art, an experience, that asked people to share a memory, and I teamed up with some data scientists to figure out how to take an emotion that's so highly subjective and convert it into something mathematically precise. So, we created what we call a nostalgia score and it's the heart of this installation. To do that, the installation asks you to share a story, the computer then analyzes it for its simpler emotions, it checks for your tendency to use past-tense wording and also looks for words that we tend to associate with nostalgia, like "home," "childhood" and "the past." It then creates a nostalgia score to indicate how nostalgic your story is. And that score is the driving force behind these light-based sculptures that serve as physical embodiments of your contribution. And the higher the score, the rosier the hue. You know, like looking at the world through rose-colored glasses.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
artificial intelligence 3
hard time 2
nostalgia score 2
ai systems 2
human intuition 2


Important Words


  1. analyzes
  2. art
  3. asked
  4. asks
  5. associate
  6. call
  7. checks
  8. computer
  9. contribution
  10. convert
  11. created
  12. creates
  13. data
  14. driving
  15. embodiments
  16. emotion
  17. emotions
  18. experience
  19. explore
  20. figure
  21. force
  22. glasses
  23. heart
  24. higher
  25. highly
  26. hue
  27. installation
  28. mathematically
  29. memory
  30. nostalgia
  31. nostalgic
  32. people
  33. physical
  34. piece
  35. precise
  36. rosier
  37. scientists
  38. score
  39. sculptures
  40. serve
  41. share
  42. simpler
  43. story
  44. subjective
  45. teamed
  46. tend
  47. tendency
  48. wording
  49. words
  50. world