START... Analysing Large-scale Text Data
Wednesday 24th January 2024, 12:00pm
In this Digital Humanities START session, you'll learn the principles of using software for processing and analysing large amounts of text semi-automatically.
Manually analysing text can be very time-intensive. This is especially true when we have a lot of text data to work with. With the help of both specialist and generalist software, including purpose-built concordancers and even Microsoft Excel, we can automate many aspects of analysing large amounts of text data. In this START session, you'll learn how to use freely available software to quantify patterns and generate useful statistical insights from large-scale text data.
Please register here.
Details
| Location: | B65 Rm2155 Digital Humanities Hub |
Get the Data
If you're that way inclined, you can get the raw data used to create this page in various formats, as listed below.
| TTL | RDF/Turtle file |
| RDF | RDF/XML file |
| RDF.HTML | HTML visualisation of raw data |
The following open datasets were used to build this page:
| Events Diary |