Sentiment Analysis of the Occupy Movement
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Transcript of Sentiment Analysis of the Occupy Movement
Sentiment Analysisof the
Occupy Movement
Michael Gerbush and Jackie Tsay
Twitter Sentiment Analysis
• Massive Language Corpus
• Realtime
• Well-Categorized and Searchable
Occupy Movement
TextTextText
• Mindset of Protesters
• Public Reaction
• Gov’t Response
• Comparison to Arab Spring [BBHFLH ’11]
Anaylsis
• Twitter Stream API
• Filtered by Hashes: #ows, #occupy, etc.
• 9 day period
• LIWC
• Count Categories of Words
Emotions in Tweets
Emotions in Tweets
Emotions in Tweets
Emotions in LA
Emotions in LA
Stop Mayor @villaraigosa from evicting Occupy LA! Call 213-978-0721 to tell the Mayor to respect free speech #OccupyLA @ACLU_SoCal
Language Categories
Language Categories
Work Related Words
Contributing Words
Work:1. police, 42352. students, 11563. government, 9124. read, 8695. job, 867
Anger:1. protest, 18662. war, 7933. protesting, 5754. fight, 4635. shit, 455
Money:1. check, 19242. free, 13173. banks, 12754. money, 11665. bank, 792
• Limited Volume
• Few Geo Tags
• LIWC Too General
• Double Counting Words
• ex: ‘free’
• RTs Skew Sample
Issues
Further Research
• Collect Higher Volume of Data
• Account for Volume Fluctuations
• Domestic vs. International Sentiment
• Different Occupy Cities
• Protesters vs. Public vs. Media vs. Govt
• Data w/o RTs
Negative Emotion in US
Pos Emotion in US
Questions?