{"repository":{"description":"Course: 02822 Social data modellering\n\nThe course objective is to enable the students to create visualizations of complex data sets and to apply common strategies for detecting sentiment in media (e.g. text, music, images, etc). \nThe students will be able to apply and assess simple machine learning techniques (e.g. non-negative matrix factorization, document classification, decision trees), as well as analyze the dynamics of complex networks. \nMedia is described using features, extracted based on high level programming languages and APIs. \nThe course provides a conceptual basis for modeling social data.","watchers":0,"stargazers":0,"forks":0,"fork":false,"size":212,"owner":"nnyegaard","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"Python","created_at":"2013-02-10T03:08:50-08:00","pushed_at":"2013-03-04T09:52:52-08:00","master_branch":"master"},"actor_attributes":{"type":"User","name":"Nicklas Nyegaard","email":"da39a3ee5e6b4b0d3255bfef95601890afd80709"},"url":"https://github.com/nnyegaard/02822/compare/04d4f305c5...c987af8ae2"}