Do you endorse or abhor the picks made by Tinseltown’s elite on Oscar night? Now you can weigh in with your picks and views through social media and the results will count. Which means computers can help settle the film-buff debate, courtesy of a new tool co-developed by the University of Southern California, LA Times and IBM.
The project "People's Oscar" relies on new sophisticated analytics and natural language recognition technologies to gauge positive and negative opinions shared in millions of public tweets.
Focused on the Best Actor, Best Actress and Best Picture categories for the 84th Academy Awards, the goal is to establish a model for measuring the volume and tone of worldwide Twitter sentiment to better understand moviegoers' opinions. The results are intended to illuminate how advances in technology can help identify important consumer trends, and if I can add, public opinion on any given subject or topic, in near real-time.
The "near real-time" can be realized if the data can be processed on a Smarter Computing platform, such as one based on IBM iDataplex platform at USC. With thousands of computing cores and high-performance networking infrastructure, this Big Data problem can be easily tackled.
After all, this is "The Age of Big Data", as The New York Times put it recently.
Links:
The project "People's Oscar" relies on new sophisticated analytics and natural language recognition technologies to gauge positive and negative opinions shared in millions of public tweets.
Focused on the Best Actor, Best Actress and Best Picture categories for the 84th Academy Awards, the goal is to establish a model for measuring the volume and tone of worldwide Twitter sentiment to better understand moviegoers' opinions. The results are intended to illuminate how advances in technology can help identify important consumer trends, and if I can add, public opinion on any given subject or topic, in near real-time.
The "near real-time" can be realized if the data can be processed on a Smarter Computing platform, such as one based on IBM iDataplex platform at USC. With thousands of computing cores and high-performance networking infrastructure, this Big Data problem can be easily tackled.
After all, this is "The Age of Big Data", as The New York Times put it recently.
Links:
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