movie business ppt by gigi
TRANSCRIPT
Presentor :Gigi Tang Instructor: Terasa Hsu Date: May 11, 2015
Predicting Movie Prices Predicting Movie Prices Through Dynamic Social Through Dynamic Social Network AnalysisNetwork Analysis
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Citation
Doshi, L., Gloor, P., Krauss, J., & Nann. S. (2010). Predicting Movie Prices Through Dynamic Social Network Analysis. Procedia Social and Behavioral Science 2, 6423-6433.
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Definition of terms
HSX: Hollywood Stock Exchange
IMDb: Internet Movie Database
SNA: Social Network Analysis
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Introduction
Purpose of this research:
Predict prices and trade on the Hollywood Stock Exchange (HSX)
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Three of metrics
Group I: IMDb and Rotten Tomatoes
Group II: SNA Metrics Web and blog
Group III: Sentiment about movies base on
forums
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Method1.Data Sources
2.User Ratings
3.Social Network Analysis (SNA) Metrics
4.Sentiment Analysis Metrics
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Purpose
1.Predict the daily changes in prices
2.Predict the final closing price of the stock
after four weeks
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Basic Sentiment Algorithm
Shown that automatic extraction of words and word pairs leads to more precise result than manually selecting positive and negative words.
(Pang & Lee,2002)
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Classifying Movies as Successes or Flops
Group III: Sentiment about movies based on the forums did well in categorized
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Classifying Movies as Successes or Flops
Group II: SNA Metrics Web and blog classified against false positives
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Classifying Movies as Successes or Flops
Group I: IMDb and Rotten Tomatoes Group III: Sentiment about movies base on forums
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Group II: SNA Metrics Web and blog
Reflection
I hope the predicting in the movie not only how well we think the movie will perform, but also how we think other people think the movie will perform.
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