USC Annenberg and IBM Collaborate on Social Media Analysis of World Series
USC Annenberg Innovation Lab (AIL) and IBM are partnering on a social media analysis project focused on Major League Baseball's World Series, harnessing IBM's Social Analytics technology to analyze millions of tweets and gauge public sentiment. The project aims to uncover hidden insights from Twitter followers and identify key trends, building on an initial analysis of the National League Championship Series (NLCS) that covered over 1.5 million public baseball-related tweets.
Key Takeaways:
- The USC Annenberg Social Sentiment Index, compiled by students, will assess public social media engagement and opinion on various topics, including sports, film, retail, and fashion.
- The project will use IBM Social Analytics technology to analyze tweets and determine "social media MVPs" during the World Series.
- The goal is to provide a unique opportunity for students to gain valuable knowledge in the use of advanced analytics technologies and apply it to real-world settings.
- The Social Sentiment Index will enable students to explore how IBM Social Analytics technology can be used by organizations, such as news outlets, journalists, and film marketers, to better understand and predict public sentiment.
- The collaboration aims to demonstrate the potential of Watson-inspired technologies, such as sophisticated semantic and linguistic analysis software, in providing new insights into public opinion.
Statistics:
- The project will analyze over 1.5 million public baseball-related tweets during the National League Championship Series.
- The team will use IBM Social Analytics technology to crunch complex data in real-time and provide new insights into public opinion.
- The Social Sentiment Index enables students to explore how IBM Social Analytics technology can be used by organizations across various industries.
- The project aims to illustrate how advanced analytics technologies can help identify important trends and provide a deeper understanding of player and team sentiment.
Sources:
- (www.annenberglab.org)
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