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- W4360983495 abstract "Abstract This chapter discusses the third use case of the book, the analysis of digital objects. Through the example of topic modelling as a technique to mine large textual repositories, it shows key concepts and methods for applying the post-authentic framework. I first discuss the dangers for knowledge production and for society in general of conflating specific mathematical concepts such as discrete versus continuous modelling of information with metaphorical language to name computational techniques. I specifically reflect on the implications for notions of causality and correlations, particularly in relation to the ’big data philosophy’. After unpacking the properties and assumptions of topic modelling as a computational technique that treats a collection of texts as discrete data, I then show how the post-authentic framework can be applied to engage critically with topic modelling. My discussion will devote special attention to the aspects of the analysis that are key for maintaining a mutualistic, symbiotic connection with the sources: pre-processing, corpus preparation and choosing the number of topics." @default.
- W4360983495 created "2023-03-30" @default.
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- W4360983495 date "2022-09-29" @default.
- W4360983495 modified "2023-10-14" @default.
- W4360983495 title "How Discrete" @default.
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- W4360983495 doi "https://doi.org/10.1007/978-3-031-16950-2_4" @default.
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