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Color of words

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Color of words

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Description

Colors are the building blocks of the world we see. At the most basic level color allows us to identify what may be poisonous or edible, hot or cold, typical or abnormal and so much more. Despite the importance of color, it's often overlooked or oversimplified for data visualization. Combining these facts with the utility of color in data visualization I'll discuss color theory and how we can optimize the exploration and understanding of text mining.

Transcript

  1. 1. color of words Eli Bressert @astrobiased Stitch Fix / Data Labs
  2. 2. Color NLP 1 2
  3. 3. color
  4. 4. purpose of data visualization?
  5. 5. color theory
  6. 6. perception
  7. 7. warm color theory
  8. 8. Blue or Blue?
  9. 9. applied color
  10. 10. Credits: X-ray: NASA/CXC/CfA/P. Slane et al.
  11. 11. that was scientific intent
  12. 12. use what the audience is familiar with
  13. 13. Credits: X-ray: NASA/CXC/CfA/P. Slane et al.
  14. 14. Space Images Credit: NASA/JPL-Caltech/GLIMPSE Team
  15. 15. Space Images Credit: NASA/JPL-Caltech/M.Meixner (STScI) & the SAGE Legacy Team
  16. 16. colorful inspirations
  17. 17. NLP & text mining
  18. 18. Sentiment
  19. 19. http://nlp.stanford.edu/sentiment/index.html
  20. 20. Stanford sentiment treebank
  21. 21. RelationShips
  22. 22. generative models
  23. 23. Karpathy et al. 2015 arXiv:1506.02078
  24. 24. Karpathy et al. 2015 arXiv:1506.02078
  25. 25. Karpathy et al. 2015 arXiv:1506.02078
  26. 26. ?

Description

Colors are the building blocks of the world we see. At the most basic level color allows us to identify what may be poisonous or edible, hot or cold, typical or abnormal and so much more. Despite the importance of color, it's often overlooked or oversimplified for data visualization. Combining these facts with the utility of color in data visualization I'll discuss color theory and how we can optimize the exploration and understanding of text mining.

Transcript

  1. 1. color of words Eli Bressert @astrobiased Stitch Fix / Data Labs
  2. 2. Color NLP 1 2
  3. 3. color
  4. 4. purpose of data visualization?
  5. 5. color theory
  6. 6. perception
  7. 7. warm color theory
  8. 8. Blue or Blue?
  9. 9. applied color
  10. 10. Credits: X-ray: NASA/CXC/CfA/P. Slane et al.
  11. 11. that was scientific intent
  12. 12. use what the audience is familiar with
  13. 13. Credits: X-ray: NASA/CXC/CfA/P. Slane et al.
  14. 14. Space Images Credit: NASA/JPL-Caltech/GLIMPSE Team
  15. 15. Space Images Credit: NASA/JPL-Caltech/M.Meixner (STScI) & the SAGE Legacy Team
  16. 16. colorful inspirations
  17. 17. NLP & text mining
  18. 18. Sentiment
  19. 19. http://nlp.stanford.edu/sentiment/index.html
  20. 20. Stanford sentiment treebank
  21. 21. RelationShips
  22. 22. generative models
  23. 23. Karpathy et al. 2015 arXiv:1506.02078
  24. 24. Karpathy et al. 2015 arXiv:1506.02078
  25. 25. Karpathy et al. 2015 arXiv:1506.02078
  26. 26. ?

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