Topic-based meta-analyses
The topic sets listed in the table below were created by applying a standard topic modeling approach (Latent Dirichlet allocation) to the abstracts or text of articles in the database. To facilitate use in a variety of applications, we have created topic sets that vary in resolution (i.e., that contain different numbers of topics).
A detailed description of the procedures used to generate these topics can be found in Poldrack et al (2012). Note that the topic sets available on this site are updated versions of the set reported in Poldrack et al (reflecting the continued expansion of the database).
Name | Description | Num. topics |
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