Oscar twitter geo_sentiment
- 1. Monitoring Real Time Market Sentiment During the Academy Awards Through Twitter
- 2. Temporal animationPivot across variablesLive filteringSentiment over timeOn click geographic details
- 3. Each Tweets sentiment is calculated between +1 and -1 then the total sentiment for the movie is calculated for before, during and after the Oscars. The larger the number to greater the positive (+) or negative (-) sentiment for the movie. The score is indicative of both overall sentiment as well as the volume of people expressing the sentiment
- 4. Heavy Negative Sentiment for Black Swan
- 5. Heavy Positive Sentiment for True Grit
- 6. Mixed Sentiment for 127 Hours
- 7. Each Tweets sentiment is calculated between +1 and -1 then the total sentiment for the actor/actress is calculated for before, during and after the Oscars. The larger the number to greater the positive (+) or negative (-) sentiment for the actor/actress. The score is indicative of both overall sentiment as well as the volume of people expressing the sentiment
- 8. Largely Positive Sentiment for Jeff Bridges
- 9. Largely Negative Sentiment for Nichole Kidman
- 10. Mixed Sentiment for James Franco
- 11. Black SwanNegative Sentiment for Black Swan but Positive Sentiment for its Actress Natalie PortmanNatalie Portman
- 12. Reaction to The Social Network Winning Best Score
- 13. The Reaction to The Fighter in the Boston Market