TweetPulse is a web application that tracks and visualizes tweets to understand who is talking about what, how they feel about topics, and how competitors are doing. It uses Twitter, Sentiment140, and Kred APIs to analyze tweets, sentiment, and influencers. The app provides visualizations of conversation graphs, sentiment breakdowns, top influencers and tweets. Recommendations include comparing social data to customer data to understand interests, linking social data to product sales to identify influential drivers, and leveraging Twitter's Firehose API for more comprehensive analytics.

1. TweetPulse
Kyle Conarro, Xiao Fu, Dan Li, Tan Li, Hui Sun, Andi Wang

2. Agenda
Background
• Project Goals
• Business Value
• Tools & Methods
Project Overview
• Web Application Architecture
• Functional requirements
• Demo
Recommendations

3. Conversation Graph
Joe
Ada
Ian
eBay
Tim
Ray

4. Conversation Graphs on Twitter
-from orgnet.com

5. Project Goals
that Tracks & Visualizes Tweets
 Who is talking?  What are they talking
about?
 How do they like it?  How are my competitors
doing?

6. Business Value
Brand
Social
CRM Development
Marketing Competitive
Activity

7. Business Value
Social CRM
Influencers
Who is
talking?
Marketing
& Social
CRM

8. Business Value
Marketing
Visualized
Tweets
What are they
talking about?
Marketing

9. Business Value
Brand Development
Sentiment
Analysis
How do they
like it?
Brand
Development

10. Business Value
Competitive Activity
Competitive
Analysis
How are my
competitors doing?
Competitive
Activity

11. Tools
open source web application framework
open source relational database management
system
js library for client-side scripting
js library for data visualization

12. 3rd Party APIs
Twitter
REST API
Kred API
Sentiment140
API
Sentiment
Influence
Outreach

13. 3rd Party APIs
Kred API Twitter REST Sentiment140
API API
• PeopleBrowsr • Search tweets • Text Sentiment
• Commercial • Get retweets Analysis
• Find influencers
• Influence and
Outreach

14. System Architecture
User
3rd level
Search 2nd level Dashboard
1st level
Server
Keyword
Tweets Retweets
Influencers
Twitter API
Sentiment 140 API
PeopleBrowsr API
Database
App DB

15. Functional Requirements
Investigate top N influential personnel
Search
Keyword
Influencer
Kred API

16. Functional Requirements
Users’ related tweets, and their sentiment info
Tweets
Twitter API
Sentiment
140 API

17. Functional Requirements
Propagation Info:
Who are reached by the influential user
Retweets
Twitter API
Kred API

18. Functional Requirements
Overview of all tracking terms
Sentiment Top
Breakdown Influencer
APP DB
Outreach,
Top
Influence
Tweets
Info

19. Demo

20. Recommendations
Customer Acquisition

Compare social engagement data with
customer acquisition data to
understand the customers’ interests

21. Recommendations
Product Sale

Associate product sales data with
social data to identify influencers
driving sales volume

22. Recommendations
Twitter Firehose

Leverage Twitter's Firehose API to
produce more comprehensive results
and allow for deeper analytics

23. Recommendations
Streaming Data

Stream search results and
dynamically update visualizations in
real-time

24. THANK YOU
Clients
Sudha Jamthe
Corinne Sherman
Ziggy Lin
Advisor
Evan Miller
Andrew Wasser
Sean R. Beggs