Planning Presentation given to MDICT (Metro Dagupan ICT council) for Twitter Sentiment Analysis

1. Who Wins the debate?
Assessing Debate Performance using Social Media Sentiment

2. Methods
• Conduct Offline Polls
• Conduct Online Polls
• Sentiment Analysis as a Poll Substitute

3. Offline Polls- Expensive, Too Long

4. Online Polls- Faster but can be ‘gamed’

5. Twitter Sentiment & Election Outcomes

6. Philippine Analysis

7. Sentiment Analysis

8. Limitations of Sentiment Engines

9. Process

10. Twitter WorkFlow

11. Data Scoring: Positive(1) Negative(-1)
Neutral(0)

12. Sample Scoring (E,F,G):

13. Plan of Actions
• Ask MDICT to create Mobile App to enable volunteers to score data
• Create Training Data Set from Scored Data
• Use Machine Learning to create model/s from Training Data Set
• Apply Model to generate sentiments from Tweets
• Compare Sentiments before and after 3rd
Pres Debate to Determine
Debate Winner

14. Contacts
• Wilson L. Chua (Twitter: wilsonchua)
• Francis Fernandez (Training.mdict@gmail.com)