Tips & Tutorials
- Alliance of Digital Humanities Organizations (ADHO)
- European Association for Digital Humanities (EADH)
- Association for Computers and the Humanities (ACH)
- Digital Humanities Quarterly (DHQ)
- The Journal of Digital Scholarship in the Humanities (DSH)
- Language Resources and Evaluation (previously: Computers and the Humanities)
- Deb Verhoeven’s presentation on the ‘parade of patriarchs’, Digital Humanities Congress in Sydney (2015) “Has anyone seen a woman?”.
- Cultural diversity and the Digital Humanities
- Feminisms in Digital Humanities (special issue of Digital Humanities Quarterly)
Text Mining and Topic Modelling
- The Programming Historian: Information on Digital Humanities tools and methods and tutorials in English, Spanish and French suited for starters. Text analysis tutorials are referred to as ‘distant reading’ (term coined by Franco Moretti).
- Quanthum: brilliant fundgrube for a lot of very interesting stuff.
- Voyant tools
- AntConc: for concordancing.
- Lancsbox: tool that incorporates lots of methods and knowledge on computational linguistics. Will allow you to compare corpora and cover POS tagging, so you will be able for instance to count verbs, nouns etc. in your corpus.
- Iramuteq: French GUI for text mining in R
- Article with a survey of (some) text analysis packages for R. Published in Language Resources and Evaluation, Vol. 53, Issue 4 (December 2019)
- Shawn Gram, Ian Milligan and Scott B. Weingart, Exploring big historical data: the historian’s macroscope. Pre-draft version available here.
- Ashish Kumar, Avinash Paul, Mastering text mining with R, Packt Publishing.
- MALLET: Topic Modelling on the Web
- Also available as an R package.
- Python and Natural Language Processing
Text mining in R
- Introduction to text mining using R
- Useful packages for NLP and text mining
- How to build topic models in R
- If you do not want to use the bag-of-words method, but use parsing and speech tagging.
- Python for Everybody and Applied Text Mining in Python on Coursera.
- Courses in text mining, sentiment analysis and social network analysis.
- Notebooks with exercises, which is a useful approach.
- New Resources for Scholars Affected by the Coronavirus
- Centre for Digital Humanities
- An overview of all research support at Utrecht University
- An overview of all research IT support at Utrecht University
- List of available software for research, free to use through UU
- An overview of Digital Humanities Education (DHCR) in the Netherlands
- Blogs by José de Kruif on issues and new developments in IT and the Humanities
- KB Lab
- Text Analysis Portal for Research (TAPoR 3)