For mining information from very large repositories of text, you need to know what you are looking for and how to find it. The Master’s programme Text Mining AI trains everyone with a Bachelor’s and or Master’s degree how to use text mining by applying Artificial Intelligence (AI) techniques. You will learn what the possibilities and limitations are, and how to reflect on the outcomes and the cross-disciplinary aspects.

What is Text Mining AI?

Did you ever wonder why there is such a need for finding information in a text by using Artificial Intelligence techniques? Scientists and decision makers are very much in need of the information that must be somewhere in textual big data. Some examples:

  • millions of medical reports and scientific papers on specific symptoms are hiding loads of information, waiting to be discovered;
  • hundreds of thousands of documents on economic policies produced by (non) governmental institutions;
  • emotions, opinions and mental states of all kinds of people on all kinds of topics can be found in abundance at the internet and in social media;
  • historical archives, libraries with centuries of books are now available digitally, waiting to be explored through new techniques.

You probably never realized, but most big data is textual and the amount of textual information available in digital form is still rapidly growing. Although language is very accessible for humans, it is not for machines. That massive amount of information is very hard to explore! That is where text mining comes in.

Text mining is trying to extract knowledge, information and structured data from text and utterances by using a collection of software and Artificial Intelligence methodologies. Although text mining is grounded in linguistics, computer science and Artificial Intelligence, it is extremely relevant for almost all fields of knowledge.

Study Programme

As a bachelor or master in your field of knowledge, you know what kind of information you could be looking for. With the Master’s programme Text Mining AI you will become a pioneer in the analysis of textual big data with Artificial Intelligence techniques. You bring your field knowledge, we teach you the tools and techniques.

Cross-disciplinary

Text mining is cross-disciplinary in a true sense. There are enough tools available on the internet, but it requires insight, knowledge and experience to use this technology properly for a specific purpose and to understand the outcome. Experts in text mining must have knowledge from both linguistics and technical aspects. Furthermore, they need to understand the field of knowledge in which they are applying these techniques.

Study programme

In the first period, you will learn the basics of linguistics and programming in Python for Text Analysis.

The second period brings you more specialized knowledge and skills: we will show you how to look at language as data and you will learn to use methods and tools for the processing of language in the course NLP Foundations.

In period three and four, you will really dive into text mining. In Applied Text Mining we will give you hands-on experience to build what we call a reading machine. In Text Mining in Domains, you will apply your newly acquired knowledge in your professional domain. At the same time, you will follow a course in Machine Learning, especially for working with language.

Write your thesis in the last two periods, most likely based on an internship.

Career Prospects

Worldwide there is an extremely large amount of digitally available text, yet it is hard to find the right piece of information that is relevant for a specific situation.

There is a fast-growing need for specialists that can apply text mining, turn it into a product and exploit the results in the industry, governmental and non-governmental organizations (NGOs).

This Master’s programme offers advanced students a scientific challenge, as well as a great opportunity to apply their field competence in a rapidly growing field of science and industry.

Open for All!

Text Mining AI is open for all students with a Bachelor's or Master's degree. You do not need to have a specific background in linguistics or programming, you will learn the basics in the first courses. Do you have a degree in Linguistics? Then you will find out exactly how your knowledge can be applied in mining texts. If you have a computational background, you will learn how to deal with text in an effective way.

Open for students

  • BA students from all faculties:
    • Computer science
    • Legal students
    • Economy
    • Medical science
    • Social & political sciences
    • Bioinformatics
    • Humanities: literature, history, linguistics
    • (Data) Journalism
    • Business analytics
  • Master students aiming for a second Master’s degree, or aiming to follow two Master’s programmes simultaneously.

Dutch Students

Admission Requirements

The Master's programme Linguistics: Text Mining AI is open for all students with a Bachelor's or Master's degree.

Application

Dutch students and international candidates with a Dutch degree can apply via Studielink before June 1st for the Master's programme Text Mining AI under the label Taalwetenschappen (Linguistics).

After you have applied for the master in Studielink, you will receive two emails with your login details for VUnet (VU studentportal). Please complete your application in VUnet. Don’t forget to fill in your specialization on VUnet: Text Mining AI.

Your application will be reviewed by the Admission Board of Faculty of Humanities. You will be informed whether you have been admitted via Studielink.

Program taught in:
English

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Last updated March 13, 2019
This course is Campus based
Start Date
Sept. 1, 2019
Duration
1 semester
Full-time
Price
2,083 EUR
- EU/EEA student; 14,600 EUR - Non-EU/Non-EEA student
Deadline
June 1, 2019
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By date
Start Date
Sept. 1, 2019
End Date
Application deadline
June 1, 2019

Sept. 1, 2019

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Application deadline
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