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Home | Courses | Social Media Data Analytics for Business
Course

Social Media Data Analytics for Business


  • Teacher(s)
    Charles Bos, Ines Lindner
  • Research field
    Management Science
  • Dates
    Period 2 - Oct 30, 2023 to Dec 22, 2023
  • Course type
    Field
  • Program year
    Second
  • Credits
    3

Course description

Social media data analysis is indispensable for businesses of all sizes. Social media provide a platform for customers to share reviews of products, they indicate directions in which the market develops and represent a powerful tool for marketing purposes. This course delves, hands-on, into the wealth of social media data which is readily available, and the manners in which this data can be collected, analyzed, and put to good use for business strategies and research. For this purpose, the course applies the advances in tools available, covering the use of sentiment analysis, basic machine learning and artificial intelligence for extracting the information in social media posts.

Prerequisites

Students are recommended to have knowledge of Business Foundations, Programming Basics, Mathematics, Statistics, Econometrics, Decision Theory for Business, Machine Learning, Retailing and E-commerce.

Course literature

Book/MOOC:

  1. Jackson, M.O (2008). Social and Economic Networks, Princeton University Press, Available as paperback or ebook
  2. ·Social and Economic Networks, Massive Open Online Course (MOOC), Jackson, M.O., available for free at www.coursera.org. (opening an account is free of charge as we don’t need a “certificate”).
You will work

with selected papers depending on your research project. For an up to date reading list of

papers check canvas “files – reading list”.