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Digital Conceptual History and the Emergence of a Globalized Climate Imaginary

Michael Boyden, Ali Basirat, and Karl Berglund

polysemy degree of words from their static word embeddings. The method assigns larger values to the more polysemous words. For example, a word with polysemy degree of -2400 is considered more polysemous than a word with the polysemy degree of -2500. Due to

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Distributional Concept Analysis

A Computational Model for History of Concepts

Peter De Bolla, Ewan Jones, Paul Nulty, Gabriel Recchia, and John Regan

word-embedding” models. An efficient and widely used implementation of this kind of model is the Word2Vec package, which uses a neural network trained to predict word contexts and encodes the meaning of the word in its parameters rather than explicitly

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Conceptualizing an Outside World

The Case of “Foreign” in Dutch Newspapers 1815–1914

Ruben Ros

consisting of matters that required administrative intervention. Figure 3. A Network Visualization of Words preceding “in het buitenland” between 1855 and 1880. Using word embeddings, the semantic similarity between the words is calculated. If the

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Quantitative Conceptual History

On Agency, Reception, and Interpretation

Jani Marjanen

meanings or connotative meanings, which are not strictly about word sense, are also present in the distributions. Machine learning methods, such as word embeddings based on the Word2Vec algorithm, tend to pool together many aspects of meaning, so that it

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The Rise of Health

A Collocation Analysis of Conceptual Changes in News Discourse, 1950–2010

Anne Helene Kveim Lie, Lars G. Johnsen, Helge Jordheim, and Espen Ytreberg

method used in this article is based on the significance of the linguistic neighborhood of words for understanding their meaning, often referred to as “word-embedding.” Methodologically, we take inspiration from work done in digital conceptual history

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Something Happened to the Future

Reconstructing Temporalities in Dutch Parliamentary Debate, 1814–2018

Joris van Eijnatten and Pim Huijnen

included with the plans” (1993). The important thing, of course, was not to confuse the timetable, which was just the calculation validating a scenario, with reality itself. 48 But other words are also associated with “scenario.” Based on word embeddings