nnyegaard/02822

Course: 02822 Social data modellering The 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). The 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. Media is described using features, extracted based on high level programming languages and APIs. The course provides a conceptual basis for modeling social data.

Python