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Oscar twitter geo_sentiment

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    Oscar twitter geo_sentiment Oscar twitter geo_sentiment Presentation Transcript

    • Monitoring Real Time Market Sentiment During the Academy Awards Through Twitter
    • Temporal animation
      Pivot across variables
      Live filtering
      Sentiment over time
      On click geographic details
    • Each Tweet’s 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
    • Heavy Negative Sentiment for “Black Swan”
    • Heavy Positive Sentiment for “True Grit”
    • Mixed Sentiment for “127 Hours”
    • Each Tweet’s 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
    • Largely Positive Sentiment for “Jeff Bridges”
    • Largely Negative Sentiment for “Nichole Kidman”
    • Mixed Sentiment for “James Franco”
    • Black Swan
      Negative Sentiment for Black Swan but Positive Sentiment for its Actress “Natalie Portman”
      Natalie Portman
    • Reaction to The Social Network Winning Best Score
    • The Reaction to “The Fighter” in the Boston Market