[Sigmetrics] Topic modelling in arts and humanities research
loet at leydesdorff.net
Sun Nov 26 01:51:29 EST 2017
I read the report with interest. We previously had some validity issues
with topic modeling (Leydesdorff & Nerghes, 2017), which we discussed
before. Have these issues been solved by moving from LDA to Non-negative
Matrix Factorization as a method?
You claim (p. 15) that the results are "meaningful," but elsewhere you
formulate more cauteously that "topic modeling is a promising approach
that can capture trends in research production."
"Can" or "may"?
Are the data (and perhaps some results) available online? Tobias Hecking
(Duisburg) and I are trying to upscale the previous study and would love
to use them as an example.
Leydesdorff, L., & Nerghes, A. (2017). Co-word maps and topic modeling:
A comparison using small and medium-sized corpora (N < 1,000).
[Article]. Journal of the Association for Information Science and
Technology, 68(4), 1024-1035. doi: 10.1002/asi.23740
Professor emeritus, University of Amsterdam
Amsterdam School of Communication Research (ASCoR)
loet at leydesdorff.net <mailto:loet at leydesdorff.net>;
Associate Faculty, SPRU, <http://www.sussex.ac.uk/spru/>University of
Guest Professor Zhejiang Univ. <http://www.zju.edu.cn/english/>,
Hangzhou; Visiting Professor, ISTIC,
Visiting Fellow, Birkbeck <http://www.bbk.ac.uk/>, University of London;
------ Original Message ------
From: "Jonathan Adams" <j.adams at digital-science.com>
To: "SIGMETRICS (sigmetrics at mail.asis.org)" <SIGMETRICS at mail.asis.org>
Sent: 11/24/2017 11:56:35 AM
Subject: [Sigmetrics] Topic modelling in arts and humanities research
>Digital Science’s latest report analyses arts and humanities research
>through topic modelling of grant applications, unveiling an innovative
>and richer understanding of the research activity in disciplines that
>have received much less attention than STEM research.
>Today, working with the Arts and Humanities Research Council
><http://www.ahrc.ac.uk/> (AHRC), we have released our latest Digital
>Research Report on: “Topic Modelling of Research in the Arts and
>Humanities <https://doi.org/10.6084/m9.figshare.5621260.v1>.” The
>report is an analysis of AHRC grant applications and details new topic
>modelling applications for analysing research funding data. This is the
>first time these methods have been applied to a national funding
>dataset of research grants and one of the first comprehensive
>analytical views across research in the arts and humanities.
>Dr Jonathan Adams
>Chief Scientist, Digital Science
>Visiting Professor, King's College London
>M/ +44 7964 908449
>E/ j.adams at digital-science.com
>Custom reporting and analysis to help you make better decisions faster
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