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Twitter Data-Mini Project
Abhishek Nandakumar
November 25, 2013
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34
Twitter Data-Mini Project
Abhishek Nandakumar
November 25, 2013
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Transcript
Data Mini-Project Nitin Jain Pavan Kumar Geoffrey Jacoby Abhishek Nandakumar
None
151.78240 35.45195 68.79268 79.56177
p-value ~ 1.7e−18
ordinary people hollywood stars
“I want”
San Francisco Memphis Things for Christmas Something (describe it) Someone
(to do something) Ice Cream Love Things for Christmas Money Pizza Someone (to do something..) (Some kind of) House
words common to SF + Memphis p-value = 0.127 Difference
insignificant.
all unique words p-value = 3.17e−07 Difference meaningful.
Potential confounds Wants for Christmas. ! Words occurring once. !
Context changes meaning: ! I seriously think I want to hire someone to brush my hair for me after I get out of the shower. DAMN. So many tangles. #lazy ! I want someone to fall in love with the way I laugh and fall in love with my smile.
Follower Count Following Count Listed (count) Tweet count URLs in
100 most recent tweets Gender 118 celebrities
None
Outliers
Barack Obama Arnold Schwarzenegger Al Gore Senator John Mccain Sarah
Palin Hillary Clinton John Boehner Joe Biden Politicians 40,185,454 2,925,511 2,701,171 1,849,471 998,646 945,905 585,267 519,641
Tim O’Reilly Deepak Chopra Guy Kawasaki John C. Maxwell Beth
Kanter Authors 1,736,824 1,694,682 1,395,960 869,970 403,402
Kaka Shaquille O' Neal Lance Armstrong Rubens Barrichello Mark Sanchez
Sports 17,452,018 7,843,305 3,918,367 2,020,439 832,289
None
None
118 → 68 celebrities Linear model found variables significant.
Adjusted R2: 0.5444 ! p-values ! Number of Following 0.00892
Number of Tweets 0.02422 Public List Appearance 2.39e−10)
Margin of error above 10% ! Sampling bias ! Missed
features Time since on Twitter Rise in popularity because of recent event Issues