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.