From the resource: This is the third in a series of posts which constitute a “lit review” of sorts, documenting the range of methods scholars are using to compute the distribution of topics over time. Graphs of topic prevalence over time are some of the most ubiquitous in digital humanities discussions of topic modeling. They…

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In light of word embeddings’ recent popularity, I’ve been playing around with a version called Latent Semantic Analysis (LSA). Admittedly, LSA has fallen out of favor with the rise of neural embeddings like Word2Vec, but there are several virtues to LSA including decades of study by linguists and computer scientists. (For an introduction to LSA…

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From the ad: You might have seen our opening for a Senior Developer—we’re now seeking an additional colleague for our R&D team: DH Developer! Apply here (posting number #0621212), or read on for more information. We welcome applications from women, people of color, LGBTQ, and others who are traditionally underrepresented among software developers. In particular, we invite…

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From the announcement: Have you been intrigued by the posts and tweets about Omeka S but haven’t quite got around to installing it? Or have you just found out about Omeka S and are wondering what, exactly, it does? We have good news for you! We are happy to announce the Omeka S Sandbox, a…

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From the resource: This is the second in a series of posts which constitute a “lit review” of sorts, documenting the range of methods scholars are using to compute the distribution of topics over time. Graphs of topic prevalence over time are some of the most ubiquitous in digital humanities discussions of topic modeling. They…

Read More