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Jeff Jenkins (Team Leader) Justin Frey John Gastreich MIS 510 Web Mining Dr. Chen April 28, 2010

RepCheck Final Presentation. Jeff Jenkins (Team Leader) Justin Frey John Gastreich MIS 510 Web Mining Dr. Chen April 28, 2010. Novelty. Sentiment Analysis – Recommendation System – Legislative bills Facebook – Post comments, influence friends, network with political activists

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Jeff Jenkins (Team Leader) Justin Frey John Gastreich MIS 510 Web Mining Dr. Chen April 28, 2010

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  1. RepCheck Final Presentation Jeff Jenkins(Team Leader) Justin Frey John Gastreich MIS 510 Web Mining Dr. Chen April 28, 2010

  2. Novelty • Sentiment Analysis – • Recommendation System – Legislative bills • Facebook – Post comments, influence friends, network with political activists • Unique APIs – Vote Smart, Capital Words (9 APIs) • Google – Web Toolkit & App Engine • Visualization – Keywords • Revenue – Ads for political fundraising & campaigning

  3. data Mining • Sentiment analysis – J48 decision algorithm • 380 Facebook posts & 600 Twitter posts • From fan clubs & hate clubs • 10 Fold validation • Accuracy rate = 78.06% • If-else statements to simulate decision tree

  4. Competitors

  5. business Model • Network Effect Business Model • Network Effect • The more nodes, the more value • Advertising • Candidates’ fundraising & campaigns

  6. Revenues, profits & exit strategy

  7. task assignment

  8. questions

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