Monitoring Real Time Market Sentiment During the Academy Awards Through Twitter
Temporal animationPivot across variablesLive filteringSentiment over timeOn 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 SwanNegative 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

Oscar twitter geo_sentiment

  • 1.
    Monitoring Real TimeMarket Sentiment During the Academy Awards Through Twitter
  • 2.
    Temporal animationPivot acrossvariablesLive filteringSentiment over timeOn click geographic details
  • 3.
    Each Tweet’s sentimentis 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 Sentimentfor “Black Swan”
  • 5.
    Heavy Positive Sentimentfor “True Grit”
  • 6.
    Mixed Sentiment for“127 Hours”
  • 7.
    Each Tweet’s sentimentis 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 PositiveSentiment for “Jeff Bridges”
  • 9.
    Largely Negative Sentiment for “Nichole Kidman”
  • 10.
    Mixed Sentiment for“James Franco”
  • 11.
    Black SwanNegative Sentimentfor Black Swan but Positive Sentiment for its Actress “Natalie Portman”Natalie Portman
  • 12.
    Reaction to TheSocial Network Winning Best Score
  • 13.
    The Reaction to“The Fighter” in the Boston Market