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Vorlesungsverzeichnis >> Rechts- und Wirtschaftswissenschaftliche Fakultät (RW) >>
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Social and Web Intelligence- Dozent/in
- Dr. Pavlina Kröckel
- Angaben
- Seminar
2 SWS, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch
Zeit und Ort: n.V.; Bemerkung zu Zeit und Ort: Lectures will be uploaded online via StudOn. Homework will be done twice during the semester as mid-term presentations which will be uploaded also via StudOn. Presence is not required except for the Kick-off in the beginning of the semester and a second kick-off in December when we will explain what you need to do for your final presentations. More information you can find on the website: http://www.wi2.fau.de/teaching/master/master-courses/sawi/
- Voraussetzungen / Organisatorisches
- Registration is possible between September 09 and October 18, 2019 via StudOn:
https://www.studon.fau.de/crs2678829_join.html
Registration is mandatory. Places are limited and allocated on a first come, first served basis. If you are on a waiting list, please stop by at the kick-off. There may be a few places available.
- Inhalt
- Social media became an inseparable part of today’s companies. The vast amount of user generated data online gives huge advantages to companies primarily by providing them with easy access to customer data free of charge. With every action online, users leave a trace behind which companies can use for a wide variety of decisions – product development and improvement, more targeted advertising, customer support. The user data come in various forms: text, images, videos. In this seminar we put special focus on text and network data. We first teach the theory behind text and network mining and then apply this knowledge on given datasets and tools.
- ECTS-Informationen:
- Credits: 5
- Zusätzliche Informationen
- Maximale Teilnehmerzahl: 25
- Institution: Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich
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