Digital Method of the Month: Text Analysis
ONLINE
Have you seen a presentation on digital research methods and wondered if they are applicable to your work? Are you interested in learning new digital skills but unsure where to start?
This is the right place for you!
The digital method of the month meeting is a safe space to freely discuss the practicalities of learning and implementing a new digital skill in your research.
Each month we select a method, and we have an honest and practical discussion on what it takes to learn and master it. How much time will it take to get the basics? What are the software options available? What are the most common pitfalls? Where can you find more info on the subject? Etc...
The method of this month is Text Analysis, which allows for patterns in language to be studied on a large scale, enabling “distant reading” of books, magazines, newspapers, and other digitized texts. Join us to learn about the resources that the programming languages Python and R offer for text analysis. During the meeting we’ll cover the basics of preparing a file (or collection of files) for text analysis, the types of questions that text analysis can answer, and the different tools you can use to answer those questions.
This is a beginner level event, and no previous knowledge of the method is required.
To attend this event, you will have to join the associated Microsoft Teams group. The link to join the group will be sent to the attendees prior to the course start date, so please make sure to do so in advance.
If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.
If you're interested in other training on text analysis, have a look at the following:
- Collecting and Handling Open-Source Data for Text analysis with Natural Language Processing
- Natural Language Processing with SpaCy
- Silent Disco: Introduction to Text Analysis
- Natural Language Processing with R
- Advanced Text Analysis: Topic Modelling with Python
- Silent Disco: Sentiment Analysis with Python
- Silent Disco: Interrogating a National Narrative with GPT-2 (large-scale corpus)