Exploring text files harvested with the Trove Harvester
This notebook suggests some ways in which you can aggregate and analyse the individual OCRd text files for each article — look at word frequencies ; calculate TF-IDF values. (Under construction)
Preview
Using this notebook¶
To run this notebook using the ARDC Binder service you'll need to log in using an account from an Australian university or research organisation. If you don't have an account, try MyBinder instead.
The MyBinder service doesn't require any authentication, but it can be slow to start and will sometimes fail when busy. If you have a login at an Australian university, you'll probably get better results with ARDC Binder.
Binder is great for experimentation and quick tasks, but for some projects you might need a dedicated, persistent environment in which to work. There's information on other options in the run these notebooks section.
Additional documentation¶
Getting help¶
Cite as¶
Sherratt, Tim. (2024). GLAM-Workbench/trove-newspaper-harvester (version v2.1.1). Zenodo. https://doi.org/10.5281/zenodo.11295552
