Social media analytics

13
Social Media Analytics Jithu Pettan Mathew Robert Sahil Singh Pavan Kanna Asif Anwar Harsh Singh

description

Possibilities of Social Media Analytics, TIBCO Spotfire tools

Transcript of Social media analytics

Page 1: Social media analytics

Social Media Analytics

Jithu PettanMathew Robert

Sahil SinghPavan Kanna

Asif AnwarHarsh Singh

Page 2: Social media analytics

Overview

•Social Media•Data Source•Tibco Tools

▫Spotfire Miner▫Spotfire

•Output•Extension

Page 3: Social media analytics

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

Page 4: Social media analytics

Data For Analysis

• Analysis of text data.• We analyze tweets send

from various users across the globe.

• Analyze patterns of tweets on a particular event, topic under discussion.

• Collect tweets on a particular hashtag.

• Sample : “Samsung Galaxy Premier”

• The fetched tweets had the following contents▫ Username▫ Tweet▫ Followers for the user▫ Location

twitter data.xlsx

Page 5: Social media analytics

Data Model

Page 6: Social media analytics

Data Model

Read File : 343 Samples read from the source file.

Page 7: Social media analytics

Data Model

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

Page 8: Social media analytics

Data Model

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

Page 9: Social media analytics

Model

•Used descriptive analysis technique.•Spotfire Miner to develop the model•Model data input to Spotfire for better

graphical analysis.

Page 10: Social media analytics

Spotfire• Location based

output.• Most activity

generated from “Venezuela”

• Top locations were buzz was generated include : Indonesia, Bangalore, Philippines

Page 11: Social media analytics

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)

Page 12: Social media analytics

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.

Page 13: Social media analytics

Thank you