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This class is usually taught by Markus Schedl in the winter term. The class is taught in English.
Information for the current semester (if available):
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Description
This course will be held foremost as an exercise in which students will implement and refine existing approaches to a task in context of social media mining or analysis. The work will be conducted in teams, each of which will select a topic to work on. The requirements to complete the course (and earn a positive grade) are the following:
- gaining an understanding of the selected task and existing solutions
- conducting a literature research and writing a short report about existing work on the topic (max. 3 pages)
- implementing and evaluating a refined version of an existing approach (or an innovate novel approach)
- giving a presentation of the topic, implemented approach/solution, and its evaluation (about 30 minutes per team)
- writing a scientific article about the approach in the style of a conference submission (about 10 pages)
Topics students can choose from include, but are not limited to the following (own suggestions are welcome too):
- influential user detection
- network structure analysis
- sentiment analysis
- flow analysis
- analyzing aspects such as similarity or diversity in user preferences
- categorization of users from their digital traces (demographics, mood, personality, habbits, etc.)
- studying the interrelationship between music taste and consumption patterns (e.g., time of day) or other user characteristics (e.g., country)
- trend detection and popularity prediction
- localizing microblog messages or other multimedia material
- real-world event detection
- country of origin detection (for persons, music artists, bands, or other items)
Many other possible topics can be derived, for instance, from the proceedings of the ICWSM conference:
http://icwsm.org/2016/program/program, opens an external URL in a new window
http://icwsm.org/2015/program/program, opens an external URL in a new window
http://icwsm.org/2014/program/program, opens an external URL in a new window
...
Also the following book gives an overview about basics in mining user-generated content:
Marie-Francine Moens, Juanzi Li, Tat-Seng Chua (eds.), Mining of User Generated Content and Its Applications, CRC Press, January 2014., opens an external URL in a new window
