Vil du gerne analysere tekstmængder, der er så store, at du ikke selv kan nå at læse dem? Så er dette kursus måske noget for dig. Kurset giver en introduktion til begrebet text mining og viser eksempler på, hvordan det kan anvendes i praksis. På kurset tager vi udgangspunkt i et samling tekster, men de færdigheder, du lærer på kurset, kan anvendes på mange andre typer tekst.
Kurset ligger i forlængelse af vores begynderkursus. På tekstanalysekurset har du dermed mulighed for at anvende de ting, du allerede har lært, samtidig med at du udbygger din viden og dine færdigheder i R.
Det forudsættes at du har installeret R og Positron/RStudio før kurset, sådan at vi ikke skal bruge tid på dette. Du kan finde hjælp til at installere R og Positron/RStudio her.
Kurset er som udgangspunkt på dansk, men hvis en eller flere deltagere ønsker det, afholdes det på engelsk.
Would you like to analyse volumes of text so large that you cannot read them yourself? Then this course may be for you. The course provides an introduction to the concept of text mining and demonstrates examples of how it can be applied in practice. The course is based on a collection of texts, but the skills you learn can be applied to many other types of text.
The course builds on our beginner course. In this text analysis course, you will therefore have the opportunity to apply what you have already learned while expanding your knowledge and skills in R.
It is assumed that you have installed R and Positron/RStudio before the course so that we do not need to spend time on this. You can find help with installing R and Positron/RStudio here.
The course is primarily conducted in Danish, but if one or more participants prefer, it can be delivered in English.
Please note this is an online event. The online event URL will be sent to you in an email confirming your registration.
* Required Field
Registration only possible for emails from these domains - ku.dk, @kb.dk, @itu.dk, au.dk, aau.dk, sdu.dk, @ruc.dk, e.g. xyz123@alumni.ku.dk
We will send confirmation of registration in your email. If you do not receive an e-mail, please contact the course organiser.
Registration is required. There are 40 seats available.
Cand.mag. Cand.scient.bibl. Master i IT og læring Specialkonsulent, Københavns Universitetsbibliotek, KUB Datalab
To use this platform, the system writes one or more cookies in your browser. These cookies are not shared with any third parties. In addition, your IP address and browser information is stored in server logs and used to generate anonymized usage statistics. Your institution uses these statistics to gauge the use of library content, and the information is not shared with any third parties.