Presented at the Big Data Summit 2017, Melbourne, Australia Artificial Intelligence, Social Analytics

1. Applications of Big Data
Techniques for Social Analytics
Dr. Dickson Lukose

2. Data Deluge
2
80%
20%
VIDEO IMAGE TEXT
VOICE
ENTERPRISE
IOT
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3. Data Deluge: Why?
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4. Convergence
4
Artificial Intelligence
Algorithms
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5. Data Lake (Data Swamp) vs Semantic Data Lake
5
DATA LAKE
5
Enterprise Data
Sensor Web
Structured, Semi-Structured
& Unstructured
Unstructured (Structured) Structured & Semi-
Structured
Structured
Linked Open Data
CRAWLERS DATA HARVESTERS
WEB
KNOWLEDGE
HARVESTER
DATA
INGESTION ENGINE
Social Media
?DATA
SWAMP
SEMANTIC
DATA LAKE
HARMONIZATION
CLEANSING
FUSION
DEDUPLICATION
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6. Big Data Analytics (BDA) Infrastructure
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7. Social Analytics
Sentiment Analytics Social Network Analytics
Anxiety Analytics Cluster Analytics
Personality Analytics Connector Analytics
Emotion Analytics Influencer Analytics
Concern Analytics Association Analytics
• Social Analytics is an umbrella term that includes a number of specialized analysis techniques, such
as social filtering, social network analysis, social channel analysis, sentiment analysis and social media
analytics.
• GCS Agile can perform the following big-data analytics:
•To-date, some of the areas this technology been applied to are listed below:
• Monitoring chatter in the Network of People
• Analysing chatter on Public Listed Companies
• Analysing personality, strengths and weakness of Individuals
• Analysing chatter among citizens on Public Services
• Analysing consumer chatter on specific Produce and Service
• Analysing public chatter on Crime in Specific Location.
• Analysing public chatter on specific Prominent People.
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8. Social Media Intelligence Process
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Raw Data
Cleansed
Data
Relevant
Data
Subjectivity
Analytics
Statistical
Analytics
Insights
Plain raw text
Preprocessed text (remove unwanted text,
characters, symbols)
Relevant data in the context of the topic of
interest
Sentiments, Emotions, Anxiety and
Personality from the relevant data
Statistical analysis to find top servers,
geographic data
Interactive visualization to generate insights
Domain/Context
Ontology
Social Media Intelligence Activities
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10. Social Media Intelligence (Interactive Visualization)
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11. 11
Social Media Intelligence (Interactive Visualization)
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12. 12
Raw Data
Cleansed
Data
Relevant
Data
Network
Analytics
Geospatial
Analysis
Insights
Harvesting
Cleansing
Filtering
Social
Network
Analytics
Social Network Analytics Process
NETWORK
CLUSTERING ASSOCIATION
INFLUENCERS
CONNECTORS
POPULARITY
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13. 13
Plain raw text
Preprocessed text (remove unwanted text,
characters, symbols)
Relevant data in the context of the topic of
interest
Build relations network and social network
analytics from the relevant data
Interactive visualization to generate insights
Geospatial analysis for displaying social
media content
Raw Data
Cleansed
Data
Relevant
Data
Network
Analytics
Geospatial
Analysis
Insights
Social Network Analytics Activities
Domain/Context
Ontology
Big Data Summit 2017

14. Social Network Analytics (Visual Analytics)
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15. 15
Social Network Analytics (Visual Analytics)

16. Dr. Dickson Lukose (PhD)
GCS Agile Pty. Ltd.
Level 10, 461 Bourke Street
Melbourne, VIC 3000
Australia
Email: dlukose@gcsagile.com.au
Phone: +61408510817