Processing, Visualizing and
Social Media Data Analytics
Unit -5
Presenter Name – Shiv Tripathi
April 2025
,Processing and Visualizing Data
• Processing involves cleaning, transforming, and
organizing data for analysis.
• Techniques:
• Data cleaning: Removing duplicates, filling missing values
• Normalization: Standardizing data formats
• Feature extraction: Selecting important variables
• Visualization helps in interpreting processed data.
• Common Tools: Tableau, Power BI, Matplotlib (Python)
• Benefits:
• Spot trends quickly
• Understand relationships between variables
, Influence Maximization
• Finding key individuals in a network who can spread
information most effectively.
• Techniques:
• Greedy Algorithms
• PageRank based methods
• Applications:
• Viral marketing
• Political campaigns
• Example: Influencer identification on Instagram for
brand promotions.
Social Media Data Analytics
Unit -5
Presenter Name – Shiv Tripathi
April 2025
,Processing and Visualizing Data
• Processing involves cleaning, transforming, and
organizing data for analysis.
• Techniques:
• Data cleaning: Removing duplicates, filling missing values
• Normalization: Standardizing data formats
• Feature extraction: Selecting important variables
• Visualization helps in interpreting processed data.
• Common Tools: Tableau, Power BI, Matplotlib (Python)
• Benefits:
• Spot trends quickly
• Understand relationships between variables
, Influence Maximization
• Finding key individuals in a network who can spread
information most effectively.
• Techniques:
• Greedy Algorithms
• PageRank based methods
• Applications:
• Viral marketing
• Political campaigns
• Example: Influencer identification on Instagram for
brand promotions.
