Conference Agenda
| Session | ||
LP-16: Machine Learning, Network Analysis and Discourse Analysis
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| Presentations | ||
Castle at the Crossroads: A Machine Learning Approach to Generic Mixture in the Nineteenth-Century Gothic Novel Stanford University, United States of America Our project introduces a BERT-based machine learning model of generic mixture for classifying individual passages from nineteenth-century Gothic novels by their relationship to other, non-Gothic, contemporaneous genres. Our method offers not only important insights into individual novels, but also a new way to track generic transformation over time. Cultures of textual reuse: comparing American and Hebrew journalistic networks in the nineteenth century College of Management Academic Studies, Israel This paper uses plagiarism detection software and social network analysis methodologies to compare nineteenth-century American and Hebrew journalistic networks. Results reveal stark differences in frequency, context, and style of textual reuse. The differences reflect distinct cultural roles of the media in shaping public knowledge and identity. Capturando o silêncio: estratégias para identificação do não-dito, ao combinar-se métodos computacionais e análise do discurso Luxembourg Centre for Contemporary and Digital History (C2DH) Este trabalho traz uma reflexão crítica, embasada em um estudo de caso, sobre a tendência dos métodos computacionais de análise textual priorizarem o que estatisticamente se repete, dificultando o acesso do analista do discurso a certas nuances. Argumento pelo uso de métodos mistos para acessar o 'não-dito' pelos jornais. | ||