Learning Social Networks From Web Documents Using Support

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Learning Social Networks from Web Documents Using Support Vectors Classifiers IEEE , WI’06 Masoud Makrehchi & Mohamed S. Kamel Presenter: Teng-Kai Fan Date: 2008-11-18

Abstract ,[object Object],[object Object],[object Object],[object Object]

Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Introduction ,[object Object],[object Object],[object Object],[object Object]

Introduction cont. ,[object Object],[object Object],[object Object],[object Object],[object Object]

Related Work ,[object Object],[object Object],[object Object],[object Object],[object Object]

Problem Statement ,[object Object],[object Object],Incomplete matrix (training examples) Complete matrix (learned matrices)

Learning Social Network from Incomplete Network ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Actor Modeling ,[object Object],[object Object],where the weighting schema is

Actor Modeling cont. ,[object Object],[object Object],[object Object],[object Object],Actor Term tf*idf

Relationship Modeling ,[object Object],[object Object],[object Object]

Relationship Modeling cont. ,[object Object],[object Object],[object Object]

Classifier Design for Imbalance Social Network Data ,[object Object],[object Object],[object Object],[object Object],[object Object],n : # of actors r : # of relations

Classifier Design for Imbalance Social Network Data cont. ,[object Object],[object Object]

Experiments ,[object Object],[object Object],[object Object],[object Object],[object Object]

Dataset cont. ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Conclusion ,[object Object],[object Object],[object Object]

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