Computational and Visual Text Analysis

5 credits

This course provides an introduction to the variety of analytical methods for text data. Texts surround us in our professional and daily lives in form of written communication, document collections, social media streams, etc. Computer science methods for text analytics can thus be useful for scientific and engineering tasks, including domain applications for literature, social media, or medical text data, for instance.

This course combines two perspectives: computational (i.e., natural language processing) and visual (i.e., information visualization for raw and derived text data) to support various analytical tasks, e.g., topic analysis, opinion mining, and named entity recognition. After finishing the course, the students should be able to choose and develop the most suitable visual text analytic technique for the given task.

Växjö – the student city with a living campus

Just south of Växjö’s city centre you will find Linnaeus University’s campus. In Växjö, many students choose to live on campus.

Here you will have five minutes’ walking distance to friends, restaurants, lecture rooms, gym, grocery store, the University Library, nature trails, and student pubs. If you live in another part of Växjö, you can quickly get to the university by bus or bicycle.

With its 90 000 inhabitants, Växjö is one of the fastest growing cities in Sweden. Here you will find the famous Småland entrepreneurship spirit and a lot of companies, for instance within the IT industry – perfect for when you are looking for an internship position or a job. Växjö is also one of Europe’s greenest cities where you have easy access to nature, forest and lakes.

Learn more about our student cities.

Students in house M

Build your own degree

Did you know that you can combine single-subject courses to build your own degree? In this way, you can design your own degree based on your interests and the career you are aiming for. Learn more about how you can build your own degree and become unique on the labour market.