Analyzing Big Data with Twitter
A special UC Berkeley iSchool course
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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
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Analyzing the Twitter Conversation and Interest Graphs
UC Berkeley Course Lectures: Analyzing Big Data With Twitter
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Project Talks and Demos: Tues Dec 11 4pm-6pm
Posted on
30 November, 2012
by
Marti Hearst
All are welcome! 210 South Hall. Talks from 4-5; demos from 5-6.
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Analyzing the Twitter Conversation and Interest Graphs
UC Berkeley Course Lectures: Analyzing Big Data With Twitter
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