> On Sep 29, 2024, at 6:26 PM, Park, Sarah <[log in to unmask]> wrote:
> 
> 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!

I know that many style guides have slightly different serializations (how to built the string used in the citation section) depending on what type of item you're citing.

I've never looked too closely to see many collisions there are (when two types of items result in strings they would look the same), but that might be a way to do a quick pass on things.

... and I would also look to groups like CrossRef to see if you can get some of this information from them.  I know that there are now more commercial groups trying to sell people this sort of information,
but they always seemed like one of the better organizations when I went to DataCite meetings.

(I have very little experience dealing with exactly what you're trying to do... I was mostly involved in trying to build the concept of data citation, and helped to maintain the bibliographies of who was using our data)

-Joe
(no current affiliation)