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What we talk about when we talk about medical librarianship: an analysis of Medical Library Association annual meeting abstracts, 2001-2019

This repository contains code and files to analyze the annual meeting abstracts of the Medical Library Association. The abstracts themselves were taken from the MLA website, converted, and can now be browsed/downloaded in CSV format here.

Description of files:

  • MLA descriptive : Jupyter notebook containing basic descriptive code (counts of abstracts, author names, etc)
  • MLA LDA : Jupyter notebook containing the topic modeling code
  • mla.csv : MLA meeting abstracts 2001-2019
  • JMLA.csv : number of JMLA articles to compare with the counts of MLA meeting abstracts (used in the MLA descriptive notebook)
  • normalized author list.csv : contains disambiguated author names that result from running the disabled code block in the MLA descriptive notebook. This disabled code block uses fuzzy matching to disambiguate names and takes forever to run, so normalized author list.csv is its saved output.
  • dict.txt : the LDA dictionary. LDA will give different results every time, so reusing the same dictionary aids reproducibility.
  • model.txt : the LDA model. LDA will give different results every time, so here is the model I used for my analysis.
  • mla_topics.html : a standalone version of the pyLDA visualization of the topic model from the MLA LDA notebook. You can view it online
  • mla_authors_by_state.html : an interactive version of the U.S. map from the MLA descriptive notebook.

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