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Social Media Analytics

                           Jithu Pettan
                         Mathew Robert
                            Sahil Singh
                          Pavan Kanna
                            Asif Anwar
                           Harsh Singh
Overview

• Social Media
• Data Source
• Tibco Tools
 ▫ Spotfire Miner
 ▫ Spotfire
• Output
• Extension
Social Media
• Instant and real time data.
• 465 million twitter accounts.
• Average tweets of 250 million tweets per day
  (2011).
• Peek at 25088 tweet per second. (“Castle in the
  sky” TV show)
• 1 billion active users on facebook.
• Linkedin, Pinterest, Google+,instagram some
  popula
Data For Analysis

• Analysis of text data.            • Sample : “Samsung Galaxy
• We analyze tweets send from         Premier”
  various users across the globe.   • The fetched tweets had the
• Analyze patterns of tweets on a     following contents
  particular event, topic under       ▫   Username
  discussion.                         ▫   Tweet
• Collect tweets on a particular      ▫   Followers for the user
  hashtag.                            ▫   Location

                                      twitter data.xlsx
Data Model
Data Model




      Read File : 343 Samples read from the source file.
Data Model




    Missing values Removal : 229 Samples after dropping rows
                     without location data.
Data Model




    Duplicate Removal : 196 Samples after removing users who
                  have tweeted multiple times.
Model

• Used descriptive analysis technique.
• Spotfire Miner to develop the model
• Model data input to Spotfire for better graphical
  analysis.
Spotfire
           • Location based
             output.
           • Most activity
             generated from
             “Venezuela”
           • Top locations were
             buzz was generated
             include : Indonesia,
             Bangalore,
             Philippines
Spotfire
           • Key personalities
             who were active on
             this subject.
           • Helps to analyze
             comments from
             opinion leaders.
           • Notable Tweeters
             include : Blackberry
             Indonesia
             Community(131214
             followers), Phone
             Crazy (69138)
           •
Extension
• Sensitivity analysis of the content can indicate positive or
  negative attitude.
• Intelligence analytics frameworks like Attivio Active
  Intelligence Engine to analyze tweets for the sentiments.
• Time series analysis to analyze the change in magnitude over
  time.
• Followers, retweets,mentions data to analyze the impact.
Thank you

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Social media analytics

  • 1. Social Media Analytics Jithu Pettan Mathew Robert Sahil Singh Pavan Kanna Asif Anwar Harsh Singh
  • 2. Overview • Social Media • Data Source • Tibco Tools ▫ Spotfire Miner ▫ Spotfire • Output • Extension
  • 3. Social Media • Instant and real time data. • 465 million twitter accounts. • Average tweets of 250 million tweets per day (2011). • Peek at 25088 tweet per second. (“Castle in the sky” TV show) • 1 billion active users on facebook. • Linkedin, Pinterest, Google+,instagram some popula
  • 4. Data For Analysis • Analysis of text data. • Sample : “Samsung Galaxy • We analyze tweets send from Premier” various users across the globe. • The fetched tweets had the • Analyze patterns of tweets on a following contents particular event, topic under ▫ Username discussion. ▫ Tweet • Collect tweets on a particular ▫ Followers for the user hashtag. ▫ Location twitter data.xlsx
  • 6. Data Model Read File : 343 Samples read from the source file.
  • 7. Data Model Missing values Removal : 229 Samples after dropping rows without location data.
  • 8. Data Model Duplicate Removal : 196 Samples after removing users who have tweeted multiple times.
  • 9. Model • Used descriptive analysis technique. • Spotfire Miner to develop the model • Model data input to Spotfire for better graphical analysis.
  • 10. Spotfire • Location based output. • Most activity generated from “Venezuela” • Top locations were buzz was generated include : Indonesia, Bangalore, Philippines
  • 11. Spotfire • Key personalities who were active on this subject. • Helps to analyze comments from opinion leaders. • Notable Tweeters include : Blackberry Indonesia Community(131214 followers), Phone Crazy (69138) •
  • 12. Extension • Sensitivity analysis of the content can indicate positive or negative attitude. • Intelligence analytics frameworks like Attivio Active Intelligence Engine to analyze tweets for the sentiments. • Time series analysis to analyze the change in magnitude over time. • Followers, retweets,mentions data to analyze the impact.