1. Twitter Data Mining and Sentiment Analysis

4. Text Mining in Twitter Twitter API Tweepy NLTK
Sentiment Analysis with VADER

5. Twitter API REST API Streaming API Persistent, realtime connection
Tweets pushed as they occur
Filters on hashtags or keywords
Data mining or individual topics

6. Steps to Capture Tweets
Tweepy
Oauth Authentication
Listener
on_data
on_error
Save to database

8. Sentiment Analysis
Aims to measure the emotional response of a writer, speaker or (in our case) tweeter
Positive/Negative

9. VADER Assigns values for positive, negative, neutral and composite
Values between -1 and 1
Trained on social media

10. How good is this tweet? Tweet Text Compound Positive Neutral Negative
This is a bad tweet
0.462
0.538
This is a good tweet
0.4404
0.516
0.484
This is a GOOD tweet!
0.6027
0.567
0.433
BEST TWEET EVVARRR!!!!!
0.7482
0.729
0.271