Social and Web Intelligence
- Dozentinnen/Dozenten
- Dr. Janine Hacker, Pavlina Kröckel, M. Sc.
- Angaben
- Seminar
2 SWS, ECTS-Studium, ECTS-Credits: 5, Sprache Englisch
Zeit und Ort: Do 15:00 - 18:15, LG 0.144 (44 Plätze); Bemerkung zu Zeit und Ort: Lectures will be uploaded online via StudOn. Presence is required for 2 mid-term and one final presentations. More information on the website: http://www.wi2.fau.de/teaching/master/master-courses/sawi/
ab 8.2.2018
- Voraussetzungen / Organisatorisches
- Please apply until October 15, 2017 by using the form below:
https://goo.gl/forms/ErqOyyoSRVy9vQOG3 Registration is mandatory. Places are limited and allocated on a first come, first served basis. Location and Date:
Room: 0.144, LG October 26, 2017
November 16, 2017
December 07, 2017
February 08, 2017
- 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: 30
- Institution: Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich
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