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Kickstarter Data Project
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Abhishek Nandakumar
December 04, 2013
Research
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Kickstarter Data Project
Abhishek Nandakumar
December 04, 2013
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Transcript
KICKSTArTER SUCCEss
Our Data. We Had 87000 projects. 300,000 users. We Used
15000 projects 400,000 users (with repetitions). We Collected Twitter + Facebook Shares. Project Creator’s Facebook Friend Count.
Cleansing. We Were Left With 12000 projects. We Chose Projects
with >1 backers. Log scale. We Discarded Facebook data (extremely inconsistent)
Hypothesis. Global reach affects the success of projects.
Backers. Hexbin Density Plot
Projects. Hexbin Density Plot
Features. Backer Location Variance Presence of Video Backers Comments Images
Pledges Minimum Pledge Maximum Pledge Tweets Facebook Friends Art Dance Design Fashion Film/Video Food Games Music Publishing Technology
Backers Comments Pledges Updates
None
Significant Features. Backer Location Variance 2e-16 Has video 0.000455 Backers
2e-16 Comments 2e-16 Image Count 0.000290 Maximum Pledge 2e-16 Tweet Count 3.75e-05 Design 3.60e-05 Games 3.25e-14 Technology 0.001938
(without Backers) Comics 0.049473 Design 3.60e-05 Food 0.013668 Games 3.25e-14
Technology 0.001938 Backer Location Variance 0.001512 Comments 2e-16 Image Count 0.000524 Number of Pledges 0.017430 Maximum Pledge 2e-16 Tweet Count 9.14e-06 Significant Features.
1504 130 78 3033 Classifiers. Random Forest 94% Accuracy
Classifiers. 0 0 1634 3111 3052 1516 59 118 GaussianRBF
65% Accuracy Linear 96.3% Accuracy SVM
Density plot: Hidden Radio and Bluetooth Speaker