Hello,
I'm currently analyzing a ten year corpus of library chats using machine learning methods and Python at my small uni, and am looking to start a wee group of interested people doing something similar. The general idea is to find useful patterns across the years of chats using weak machine learning methods rather than hand coding them all, because there are simply too many and there are some useful tools out there. I have some small coding experience and have found it useful enough that I'd like to reach out to more librarians perhaps doing the same. I'm familiar with the small literature. I'm using various libraries (pandas, matplotlib, scikit, gensim) to process, model, and evaluate the data, but have plenty of questions that a similar group of librarians may find discussion fruitful. I'm also interested in what uses topic modeling could have beyond this narrow application. Do let me know if you're interested. Thanks!
Craig V.
(Initially cross posted to ACRL)
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Craig Varley
Graduate Instruction Librarian
Lenoir-Rhyne University (Asheville & Hickory, NC)
He/Him/His
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Craig Varley
Graduate Instruction Librarian
Lenoir-Rhyne University
He/Him/His
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