Dissertation supervised by Prof. Ana Paula Rocha and Prof. António Castro

LIACC

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Context

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General

• Name

• Founded

• Origin

• Employees

• Sector

Financial

• Stock Price

• Market Capitalisation

• Revenue

Social

• Facebook Fans

• SocialBakers Total Score

• SocialBakers Fan Score

• SocialBakers Content Score

• SocialBakers Engagement Score

• SocialBakers Warning Score

• ReviewCentre Score

• ReviewCentre Reviewers

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General

• Name

• Founded

• Origin

• Employees

• Sector

Financial

• Stock Price

• Market Capitalisation

• Revenue

Social

• Facebook Fans

• SocialBakers Total Score

• SocialBakers Fan Score

• SocialBakers Content Score

• SocialBakers Engagement Score

• SocialBakers Warning Score

• ReviewCentre Score

• ReviewCentre Reviewers

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Automatic Stereotype Extractor

Group Similarity

Index

C4.5 Classification

Tree

Frequency Increase

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SocialBakers Total Score > 48.9%

C4.5 Employees < 500 000

Stock Price < 144 dollars

SocialBakers Fan Score > 5%

Activity Sector: IT, consumer goods or transportation

GSI SocialBakers attributes

Activity Sector

FIc

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Classification of new Enterprises

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Faster than clustering

Missing Values

Classification Algorithms

• Multilayer Perceptron

• Sequential minimal optimization

• k-nearest neighbors

• Naive Bayes

• C4.5

• Random Forest

• Radial Basis Function Network

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Error Rate

Best Algorithm

Missing Values

Dataset

Classifiers Test

Initial Dataset

No Missing Values

Naïve Bayes

4%

Missing Social Values

RBF Network

17%

Missing Financial Values

Naïve Bayes

2%

Test Dataset

No Missing Values

RBF Network

2%

Missing Social Values

Naïve Bayes

34%

Missing Financial Values

RBF Network

3%

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A valid process was defined for enterprise

profiling

A method capable of identifying the clusters meaning was created

A software to automate the process was

developed

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Hierarchical Clustering More Enterprises

More attributes

Questions?