Collating Social Network Profiles. Objective 2 System.
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Collating Social Network Profiles
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Transcript of Collating Social Network Profiles. Objective 2 System.
Collating Social Network Profiles
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<Twitter Profile, Facebook Profile, G+ Profile, …>
Objective
<Company Name> System<Twitter Profile, Facebook Profile, G+ Profile, …>
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<Twitter Profile, Facebook Profile, G+ Profile, …>
Objective
Company Name SystemSocial Network
Profiles
Input Output
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Record Linkage+
Identity
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Agenda
Introduction Objective
Contrast to Existing Work
Work Done Baseline System
Individual Network Approach
Machine Learning Experiments
Next Steps, Q&A
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Baseline System
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Ground Truth
Two networks: Facebook and TwitterTop seventy 2013 Fortune 500 companies
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Baseline Algorithm
1.Take company name.
2.Search Facebook/Twitter API using it.
3.Return first result from each.
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Baseline Performance
Facebook Twitter Both0
10
20
30
40
50
60
70
34
52
30
Corr
ect
Matc
hes
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Individual Network Approach
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New Approach
Score profiles based onEdit Distance
Company Name – Username
Company Name – Display Name
Relative Popularity
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Display Name
Username
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New Approach
Score profiles based onEdit Distance
Company Name – Username
Company Name – Display Name
Relative Popularity
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Scoring
Edit Distance Score:
Popularity Score:
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Best Performing Combination
Facebook Twitter Both0
10
20
30
40
50
60
70
34
52
30
40
50
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Baseline Username Edit Distance + Popularity
Corr
ect
Matc
hes
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Machine Learning Experiments
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Freebase Ground Truth
1,422 with a social media presence
917 with Facebook, 687 with Twitter
598 with both
553 with valid profiles
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Training Set
553 Correct
553 Incorrect
1106
Total
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Cross Validation Results
Classifier Test | Train Train | Test
Linear Regression 0.734 0.707
Gaussian Naïve Bayes 0.972 0.956
Multinomial Naïve Bayes 0.511 0.506
Bernoulli Naïve Bayes 0.720 0.701
Decision Tree 0.954 0.935
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Next Steps
Improve training set: provide harder examples
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Next Steps
Improve training set: provide harder examplesIncorporate more profile data
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Next Steps
Improve training set: provide harder examplesIncorporate more profile dataBuild system around classifiers
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Agenda
Introduction ObjectiveContrast to Existing Work
Work Done Baseline SystemIndividual Network ApproachMachine Learning Experiments
Next Steps, Q&A
