1. Twitter mood predicts the stock market Johan Bollen, Huina Mao, Xiao-Jun Zeng Journal of Computational Science (2010-03) Presented by Annaka 2013-10-16

2. 2 3. 3 4. Summary twitter CALM 86.7% 4 5. Outline 1. 2. 3. 4. 5. 5 6. Outline 1. 2. 3. 4. 5. 6. 6 7. [Gruhl,2005][Mishne,2006][Schumaker,2009]()7 8. [Gruhl,2005][Mishne,2006][Schumaker,2009]() [Bollen,2010] 8 9. Outline 1. 2. 3. 4. 5. 6. 9 10. 2Opinion Finder (OF)(Positive)(Negative) PositiveNegative PositiveNegative Google-Prole of Mood States (GPOMS) Calm, Alert, Sure, Vital, Kind, Happy 6 POMSGoogle 6 10 11. () Opinion Finder PositiveNegative 12. () GPOMS 6 13. 2Opinion Finder (OF)Sure,HappyPositive (Positive)(Negative) PositiveNegative PositiveNegative Google-Prole of Mood States (GPOMS) Calm, Alert, Sure, Vital, Kind, Happy 6 POMSGoogle 6 13 14. Outline 1. 2. 3. 4. 5. 6. 14 15. t n t-i An 15 16. ()2-6 Calm 16 17. () Calm17 18. () Calm 18 19. tweet 985tweet 2008/2/28 ~ 2008/12/19 270user 2008/2/28 ~ 2008/11/28 test2008/12/1 ~ 2008/12/19Self-organizing Fuzzy Neural Network(SOFNN)- 2007NN(?)- 5- 19 20. Outline 1. 2. 3. 4. 5. 6. 20 21. training test21 22. Outline 1. 2. 3. 4. 5. 6. 22 23. or (%)(%)OF1.9573.31.9473.3GPOS(Calm)1.8386.7GPOS(Calm+Alert)2.0360.0GPOS(Calm+Sure)2.1346.7GPOS(Calm+Vital)2.0560.0GPOS(Calm+Kind)1.8573.3GPOS(Calm+Happy)1.7980.0 23 24. or (%)(%)OF1.9573.31.9473.3GPOS(Calm)86.7GPOS(Calm+Sure)1.83 2.03 2.13GPOS(Calm+Vital)2.0560.0GPOS(Calm+Kind)1.8573.3GPOS(Calm+Happy)1.7980.0GPOS(Calm+Alert)60.0 46.724 25. Outline 1. 2. 3. 4. 5. 6. 25 26. Summary() twitter CALM 86.7% 26 27. Calm() ( ) 3-6 unexpected unexpected () 27 28. 28