Social and Web Intelligence Seminar

Content and goals of the course

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 to given datasets.

For the Master IIS students, the seminar can be chosen as part of the „Business Analytics“ specialization, as well as an elective in the module IIS Management Electives – Services, Processes, Intelligence II.

Prerequisite: Students should have successfully passed the Business Intelligence lecture at our Chair before taking this course. A similar introductory course in data analysis may also be considered.

Course structure

The course consists of three main parts:

  1. Introduction
  2. Social Network Mining
  3. Text Mining

Please note: The lecture videos are pre-recorded and will be available online via StudOn. Students can watch the lectures online at their own convenience.

The core parts of the seminar are social networks and text mining.

You will be given a dataset and you will have to apply the knowledge from both social networks and text mining to solve the case. Work will be done in groups. You will have to submit a presentation with your results and details in the notes section. This will account for 100% of your final grade.

Grading

For the winter semester 22/23, the grade will be 100% based on a presentation which will be done in small teams (preferably consisting of 2 students).

Location and Date

  • Kick-Off: 24.10.2022 at 11 AM via Zoom
  • Lecture and exercise materials will be uploaded on StudOn

Please note: The seminar will be done entirely online. Presence is expected for the kick-off lecture, and mid-term presentation. More information will be given during the kick-off lecture.

Registration winter term 2022/23

Registration is open until October 07, 2022 via StudOn.

Registration is mandatory. Places are limited to 25. Please note that registration will be possible until October 07, 2022, however this does not guarantee that you will be offered a place.

For questions related to the seminar, please send an email to pavlina.kroeckel@fau.de

Exam ID

Module number Social and Web Intelligence  53306 (5 ECTS)

Exam number Social and Web Intelligence (Presentation/Presentation paper) 33061 (5 ECTS)