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Applying Machine
Learning to Social Media
Data
Sept 24, 2016
Cortex Automation: Vision
An intelligent platform for creative
decision-making
Cortex Automation: Post Creating
Cortex Automation: Scheduling
Prominent Colors:
maroon and brown
13-character caption
Deployed on
8/22/16 at
3:12pm
Shoes feature
prominently
A hashtag with
very limited search
traffic
This brand has
43,498 followers and
posts four times a
week
Square Photo
13 hours since
last post
Published during
Fall season
Artificial Intelligence
makes it easy to use
Machine learning
finds patterns
Content turns into
data
How?
Post Engagement Prediction
●
○
○
●
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○
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■
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■
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○
○
○
○
Prediction Model (½)
●
○
●
○
○
○
○
○
○
○
■
■
Scoring Model (2/2)
●
○
○
○
○
○
○
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Training Set generation
●
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○
○
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○
●
○
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Hands-on Experiment
●
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Test Platform
●
○
○
●
○
○ SciPy, scikit-learn,...)
○ Java/Scala (Apache Spark MLlib,
Mahout)
Weka: Training Data Generation (1/3)
●
●
Weka Training Data (2/3)
Weka: Training Data (3/3)
Filtering?
●
●
Choosing Regression Models
●
●
●
●
Result: Linear Regression
Result: SMOreg
Result: Bagging with RepTree
#thanks

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Applying ML to Social Media Data