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.

1. color of words
Eli Bressert
@astrobiased
Stitch Fix / Data Labs

2. Color
NLP
1
2

3. color

4. purpose of data visualization?

7. color theory

10. perception

11. warm color theory

13. Blue or Blue?

17. applied color

18. Credits: X-ray: NASA/CXC/CfA/P. Slane et al.

19. that was
scientific intent

20. use what the audience
is familiar with

21. Credits: X-ray: NASA/CXC/CfA/P. Slane et al.

22. Space Images
Credit: NASA/JPL-Caltech/GLIMPSE Team

23. Space Images
Credit: NASA/JPL-Caltech/M.Meixner (STScI) & the SAGE Legacy Team

24. colorful inspirations

26. NLP & text mining

27. Sentiment

28. http://nlp.stanford.edu/sentiment/index.html

29. Stanford sentiment treebank

30. RelationShips

32. generative models

33. Karpathy et al. 2015 arXiv:1506.02078

34. Karpathy et al. 2015 arXiv:1506.02078

35. Karpathy et al. 2015 arXiv:1506.02078

36. ?