Showing posts with label analyzing provenance texts. Show all posts
Showing posts with label analyzing provenance texts. Show all posts
Nov 9, 2024
Aug 19, 2024
Provenance patterns: visualising unreliability words in red
In this post, we look at another way of automating the analysis of hundreds of artworks at a time with reusable code.
"Unreliability" words have been automatically formatted in red.
The count refers to the number of artworks containing "unreliability" words for the same artist in the dataset.
Selected paintings with "unreliability" words such as "probably", "possibly", "presumably" and "likely".
The analysis and table were produced by Python code run in a Jupyter Notebook on a Mac.
The Notebook will be shared after a few more tests.
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