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Analyzing Big Data with Twitter
A special UC Berkeley iSchool course
Analyzing Big Data with Twitter
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  • Projects
    • Berkeley Food Recommenders
    • Clustering Communities in the Twitter Network
    • FlickOh – Personalized Movie Ratings and Recommendations
    • Impactweets: New Techniques for filtering Interesting Tweets
    • ParaTweet: A Twitter Content Based Recommendation Engine
    • Pigskin: Visualizing Football Tweets
    • Sale Cloud
    • TweetStrap: Apriori Retweet Count Prediction
    • Twist: User Timeline Tweet Classifier
    • Twitter Product Referral Bot
    • TwitterGotchi
    • BandHype
  • Syllabus
    • Instructor Bios
    • Project Mentors’ Bios
  • Assignments
    • Assignment 1
    • Assignment 2
    • Assignment 3
    • Final Project Requirements
    • Mid-Project Report and Presentation
    • Final Project Deliverables
    • Grading and Grading Policies
← Welcome to the UC Berkeley Twitter Course!
Video of first lecture is posted →

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Posted on 22 August, 2012 by Marti Hearst
This entry was posted in Uncategorized. Bookmark the permalink.
← Welcome to the UC Berkeley Twitter Course!
Video of first lecture is posted →
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