Re: CODE4LIB Digest - 28 Sep 2024 to 29 Sep 2024 (#2024-202)

From: EDWIN VINCENT SPERR <0000015cbb6cbf37-dmarc-request_at_nyob>
Date: Mon, 30 Sep 2024 13:23:02 +0000
To: CODE4LIB_at_LISTS.CLIR.ORG
Sara -- 

Were y'all looking to do some sort of broad bibliometric study along the lines of "Particle physics has 20% fewer 'Review' articles than structural engineering"?

If so, I'd be temped to pull out a random sample from each discipline and classify them manually...

(Of course, that's easy for me to say as the person who won't be trawling through hundreds of records)

Otherwise, as Rodrigo suggests, you're gonna be building a classifier...


Ed Sperr, MLIS
Systems and Discovery Librarian
esperr_at_uga.edu
University of Georgia Libraries, Main Library 
Athens, GA 30602-1641

Date:    Sun, 29 Sep 2024 22:25:58 +0000
From:    "Park, Sarah" <gpark1_at_ILLINOIS.EDU>
Subject: identifying publication types from citations

Hi,

I am looking for a tool or method that can help us identify publication types from citations/references using scripts or AI-based tools. My colleague and I are interested in citation analysis to determine the types of sources used in a discipline, for example, journal articles, review articles, magazine articles, book chapters, books, websites, government documents (Gov Docs), and NGO documents.

One possible method I got so far was using article database APIs, like Scopus, to identify document types, but Scopus seems to track some types but not all. I also heard that a model can be trained using ChatGPT or other generative AI, but I haven't heard how effective it can be.

Any thoughts or suggestions that could lead to a possible solution would be greatly appreciated!

Best,


Sarah G. Park, she/her
Mathematics and Computational Sciences Librarian Head, Mathematics Library Assistant Professor University of Illinois at Urbana-Champaign gpark1_at_illinois.edu<mailto:gpark1_at_illinois.edu>

Received on Mon Sep 30 2024 - 09:22:08 EDT