Topics and Granularity

#2
by Corran - opened

Hi, wondering if you can provide a document listing all of the topic labels you've chosen, whether the topics are hierarchical and any info on how this and the granularity was decided.

Allen Institute for AI org

Hello @Corran here is the link to the list of topics: https://github.com/allenai/s2_fos/blob/main/src/s2_fos/constants.py#L7-L31. Topics are not hierarchical.

About the topic list you can find more in this blog post: https://blog.allenai.org/announcing-s2fos-an-open-source-academic-field-of-study-classifier-9d2f641949e5
Relevant part
"The taxonomy of fields of study for S2FOS is largely based on MAG’s taxonomy. This choice allowed us to leverage existing data from MAG’s classification. However, we did take the opportunity to make targeted additions to the set of fields based on user feedback and comparison to other popular academic data sources such as Dimensions. We added the ability to classify papers as Linguistics, Law, Education, and Agriculture and Food Sciences."

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