You tube Group Profiling Services

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ImREAL WP4 Augmented User Model Service. A suite of machine learning-based services to derive profiles of user groups from YouTube comments on videos in order to help the identification of learning needs and augment learner models.

Technologie Business

ImREAL WP4 Augmenting User Models YouTube Services Deriving Social Group Profiles from YouTube for Learner Modelling Presented By: Ahmad Ammari User and Community Modelling School of Computing, University of Leeds, UK [email_address]

Learner Modelling for Learning Simulators Simulated Environment Existing Learner Model ,[object Object],[object Object],[object Object],[object Object]

Socially Enriched Learner Model Socially-Enriched Learner Modelling ,[object Object],[object Object],[object Object],[object Object]

YouTube Services ,[object Object],[object Object],[object Object],3 2 1

Methodology Semantically Enriched Machine Learning Framework Social Media Source: YouTube www.youtube.com Social Content: Public Comments on Uploaded Videos Activity Domain: Job Interviews Objective: Derive Profiles of YouTube User Groups that can help in: 1. Identification of Learning Needs 2. Augmenting Learner Models

Methodology (cont.) Cluster– based Group Profiles P1 P2 … Relevant Comments 4 5A

Methodology (cont.) … Relevant Comments 4 5B Demographics – based Group Profiles

Deriving the Individual & Group User Profiles TFIDF Weights Of Domain Concepts Demographic Features retrieved from YouTube User Profiles Text Clustering Statistical Destribution C1 C2 C3 … C n Age Gender Location 0.3 0.6 0.9 … 0.4 30 M US 0.8 0.2 0.3 … 0.6 25 M GB 0.4 0.5 0.2 … 0.1 15 F IN

Pilot Experiment Data Property Value Number of Job Interview-related YouTube Videos 17 Number of Comments Retrieved 1465 Number of Remaining Comments after Noise Filtration 471 (32%) Number of Unique Comment Authors 393 Comment to Author Ratio 1.20

Example Usage 1 Using the Cluster-based Group Profiles to Identify Learning Needs for Similar Learners URL for all Derived Cluster-based Group Profiles: http://wis.ewi.tudelft.nl/imreal/u-sem/YouTubeServices/YouTubeGroupProfiles_files/Clustering_Based_Groups.html

Example Usage 2 Using the Demographics-based Group Profiles to Augment Models of Similar Learners URL for Example Demographics-based Group Profiles to augment Models of Four Fictitious Learners: http://wis.ewi.tudelft.nl/imreal/u-sem/YouTubeServices/YouTubeGroupProfiles_files/Demographic_Based_Groups.html

Example (1): Body Language Signals ,[object Object],[object Object],[object Object],[object Object],[object Object]

Example (2): Expressed Emotions ,[object Object],[object Object],[object Object],[object Object]

Example (3) : Learner Interests ,[object Object],[object Object],[object Object],[object Object],[object Object]

YouTube Services Webpage: http://wis.ewi.tudelft.nl/imreal/u-sem/YouTubeServices/ ImREAL Project: http://imreal-project.eu/ Presented By: Ahmad Ammari User and Community Modelling School of Computing, University of Leeds, UK [email_address] Thank You

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You tube Group Profiling Services

1. ImREAL WP4 Augmenting User Models YouTube Services Deriving Social Group Profiles from YouTube for Learner Modelling Presented By: Ahmad Ammari User and Community Modelling School of Computing, University of Leeds, UK [email_address]

5. Methodology Semantically Enriched Machine Learning Framework Social Media Source: YouTube www.youtube.com Social Content: Public Comments on Uploaded Videos Activity Domain: Job Interviews Objective: Derive Profiles of YouTube User Groups that can help in: 1. Identification of Learning Needs 2. Augmenting Learner Models

6. Methodology … … Noise Relevant 1 2 3

7. Methodology (cont.) Cluster– based Group Profiles P1 P2 … Relevant Comments 4 5A

8. Methodology (cont.) … Relevant Comments 4 5B Demographics – based Group Profiles

9. Deriving the Individual & Group User Profiles TFIDF Weights Of Domain Concepts Demographic Features retrieved from YouTube User Profiles Text Clustering Statistical Destribution C1 C2 C3 … C n Age Gender Location 0.3 0.6 0.9 … 0.4 30 M US 0.8 0.2 0.3 … 0.6 25 M GB 0.4 0.5 0.2 … 0.1 15 F IN

10. Pilot Experiment Data Property Value Number of Job Interview-related YouTube Videos 17 Number of Comments Retrieved 1465 Number of Remaining Comments after Noise Filtration 471 (32%) Number of Unique Comment Authors 393 Comment to Author Ratio 1.20

11. Example Usage 1 Using the Cluster-based Group Profiles to Identify Learning Needs for Similar Learners URL for all Derived Cluster-based Group Profiles: http://wis.ewi.tudelft.nl/imreal/u-sem/YouTubeServices/YouTubeGroupProfiles_files/Clustering_Based_Groups.html

12. Example: Body Language Signals

13. Example Usage 2 Using the Demographics-based Group Profiles to Augment Models of Similar Learners URL for Example Demographics-based Group Profiles to augment Models of Four Fictitious Learners: http://wis.ewi.tudelft.nl/imreal/u-sem/YouTubeServices/YouTubeGroupProfiles_files/Demographic_Based_Groups.html

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17. YouTube Services Webpage: http://wis.ewi.tudelft.nl/imreal/u-sem/YouTubeServices/ ImREAL Project: http://imreal-project.eu/ Presented By: Ahmad Ammari User and Community Modelling School of Computing, University of Leeds, UK [email_address] Thank You

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