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  Diachronic Topics in New High German Poetry

Haider, T. (2019). Diachronic Topics in New High German Poetry. Proceedings of the International Digital Humanities Conference DH2019, Utrecht, https://dev.clariah.nl/files/dh2019/boa/1031.html.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0006-6F90-B Version Permalink: https://hdl.handle.net/21.11116/0000-0006-6F91-A
Genre: Conference Paper

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 Creators:
Haider, Thomas1, Author           
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1Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421695              

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Free keywords: Computer Science, Computation and Language, cs.CL,Computer Science, Information Retrieval, cs.IR
 Abstract: Statistical topic models are increasingly and popularly used by Digital Humanities scholars to perform distant reading tasks on literary data. It allows us to estimate what people talk about. Especially Latent Dirichlet
Allocation (LDA) has shown its usefulness, as it is unsupervised, robust, easy to use, scalable, and it offers interpretable results. In a preliminary study, we apply LDA to a corpus of New High German poetry (textgrid, with 51k poems, 8m token), and use the distribution of topics over documents for a
classification of poems into time periods and for authorship attribution.

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Language(s): eng - English
 Dates: 2019-09-242019
 Publication Status: Issued
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 Identifiers: arXiv: 1909.11189
URI: http://arxiv.org/abs/1909.11189
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Title: International Digital Humanities Conference DH2019, Utrecht
Place of Event: Utrecht
Start-/End Date: 2019-07-08 - 2019-07-12

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Title: Proceedings of the International Digital Humanities Conference DH2019, Utrecht, https://dev.clariah.nl/files/dh2019/boa/1031.html
Source Genre: Journal
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