Applications of Big Data Techniques for Social Analytics
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The document discusses the applications of big data techniques in social analytics, highlighting methods such as sentiment analysis and social network analysis. It outlines the process of data ingestion from various sources, emphasizing the importance of data cleansing and transformation to derive meaningful insights. The analysis techniques mentioned include monitoring public chatter on various topics, analyzing individual profiles, and extracting emotions and personalities from social media data.
Applications of Big Data Techniques for 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 Big Data Summit 2017
- 3. Data Deluge: Why? 3Big Data Summit 2017
- 4. Convergence 4 Artificial Intelligence Algorithms Big Data Summit 2017
- 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 Big Data Summit 2017
- 6. Big Data Analytics (BDA) Infrastructure 6Big Data Summit 2017
- 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. Big Data Summit 2017
- 8. Social Media Intelligence Process Big Data Summit 2017
- 9. 9 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 Big Data Summit 2017
- 10. Social Media Intelligence (Interactive Visualization) 10Big Data Summit 2017
- 11. 11 Social Media Intelligence (Interactive Visualization) Big Data Summit 2017
- 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 Big Data Summit 2017
- 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) 14Big Data Summit 2017
- 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