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Toward a Tool for Sentiment Analysis for German Historic PlaysSchmidt, Thomas, Burghardt, Manuel 05 June 2024 (has links)
No description available.
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Katharsis – A Tool for Computational DrametricsSchmidt, Thomas, Burghardt, Manuel, Dennerlein, Katrin, Wolff, Christian 05 June 2024 (has links)
No description available.
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[en] AUTOMATIC INFORMATION EXTRACTION: A DISTANT READING OF THE BRAZILIAN HISTORICAL-BIOGRAPHICAL DICTIONARY (DHBB) / [pt] EXTRAÇÃO AUTOMÁTICA DE INFORMAÇÕES: UMA LEITURA DISTANTE DO DICIONÁRIO HISTÓRICO-BIOGRÁFICO BRASILEIRO (DHBBSUEMI HIGUCHI 10 September 2021 (has links)
[pt] A pesquisa aplica algumas técnicas de processamento de linguagem natural (PLN) ao domínio da história, tendo como objeto de investigação o Dicionário Histórico-Biográfico Brasileiro (DHBB), obra de estilo enciclopédico concebida pelo Centro de Pesquisa e Documentação de História Contemporânea do Brasil (CPDOC) da Fundação Getulio Vargas (FGV). O objetivo foi criar, a partir do DHBB, um corpus anotado para fins de extração automática de informações, relevante para as Humanidades Digitais, capaz de viabilizar ‘leituras distantes’ da política contemporânea brasileira. O processo completo passa pelas etapas de análise morfossintática do material, identificação de entidades relevantes ao domínio, inclusão de anotação no corpus, definição de relações semânticas de interesse para a pesquisa e mapeamento dos padrões léxico-sintáticos existentes nestas relações. Busca-se com estas etapas preparar os textos para a identificação de estruturas de interesse, isolando as informações relevantes e apresentando-as de forma estruturada. Para testar e avaliar um conjunto de padrões quanto à sua produtividade, foram selecionados como temas de interesse idade de entrada dos biografados na carreira política, formação acadêmica e vínculos familiares. O pressuposto é que utilizando padrões léxico-sintáticos é possível extrair informação de qualidade direcionada ao domínio da História, a partir de um corpus anotado do gênero enciclopédico. Na avaliação dos padrões para a extração do ano de nascimento dos biografados a medida-F foi de 99 por cento, para a extração de relações familiares a medida-F foi de 84% e para informações sobre formação acadêmica o índice de acertos alcançou 99,1 por cento. Essas extrações, por sua vez, permitiram uma leitura distante dos dados do DHBB que nos mostra i) queda da média de idade no que se refere à entrada dos políticos na carreira pública, que passam a se posicionar cada vez mais abaixo dos 40 anos, principalmente os nascidos a partir da década de 1960; ii) declínio acentuado na formação militar, sobretudo para as gerações pós 1920, demonstrando que o treinamento civil estava substituindo o militar enquanto caminho para atingir cargos políticos importantes; e iii) vínculos familiares na política como um fenômeno que se mantêm ao longo do tempo em índices bastante significativos, muitas vezes representando mais de 50 por cento do total de membros de determinadas categorias. As principais contribuições da tese são: criação de um corpus de gênero enciclopédico anotado e disponibilizado para estudos linguísticos e das humanidades; apresentação de metodologia baseada em uma filosofia de enriquecimento cíclico, em que à medida que se vai obtendo mais informações, elas são adicionadas ao próprio corpus melhorando a extração; e compilação de um conjunto de padrões passível de ser adaptado para quaisquer corpora contendo o mesmo tipo de anotações. / [en] The research applies some natural language processing techniques (NLP) to the domain of history, having as object of investigation the Brazilian Historical-Biographical Dictionary (DHBB), an encyclopedic style work conceived by the Centro de Pesquisa e Documentação de História Contemporânea do Brasil (CPDOC) of Fundação Getulio Vargas (FGV). The target is to create, from the DHBB, an annotated corpus for automatic information extraction s purpose, relevant to the Digital Humanities, enabling distant readings of Brazilian contemporary political history. The complete process goes through the morphosyntactic analysis of the material, identification of entities relevant to the domain, inclusion of semantic annotation in the corpus, definition of semantic relations of interest and mapping of lexical-syntactic patterns existing in these relations. These steps seek to prepare the texts for the identification of structures of interest, isolating the relevant information and presenting them in a structured way. To test and evaluate a set of textual patterns regarding their productivity in relation to DHBB, some specific topics were selected: age of the politician when entering public life, academic training and family ties. The assumption is that using lexical-syntactic patterns it is possible to extract high quality information from the domain of History, from an annotated corpus of the encyclopedic genre. In the evaluation of the patterns for extraction of the year of birth of the biographees, the F-measure was 99 per cent, for the extraction of family relationships, the F-measure was 84 per cent and for information on academic training, the correctness index reached 99.1 per cent. These extractions, in turn, allowed us to make a distant reading of the data in the DHBB that shows us i) a drop in the average age with regard to the entry of politicians into the public career, who start to position themselves more and more under 40 years of age, mainly those born from the 1960s; ii) sharp decline in military training, especially for the post-1920 generations, demonstrating that civilian training was replacing military training as a way to reach important political positions; and iii) family ties in politics as a phenomenon that remain over time at very significant rates, often representing more than 50 per cent of the total members of certain categories. The main contributions of the thesis are: creation of an encyclopedic genre corpus annotated and made available for linguistic and humanities studies; presentation of a methodology based on a philosophy of cyclic enrichment, in which, as more information is obtained, they are added to the corpus itself, improving extraction; and compilation of a set of productive patterns that can be adapted for any corpora containing the same type of annotations.
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Trauma in the Syntax: Trauma Writing in David Foster Wallace's Infinite JestAlyssa Caroline Fernandez (11181666) 26 July 2021 (has links)
<p>This project presents a case study of postmodern trauma, working at the boundaries of the humanities and computer science to produce an in-depth examination of trauma writing in David Foster Wallace’s novel <i>Infinite Jest</i>. The goal of this project is to examine the intricacies of syntax and language in postmodern trauma writing through an iterative process I refer to as <i>broken reading</i>, which combines traditional humanities methodologies (close reading) and distant, computational methodologies (Natural Language Processing). Broken reading begins with close reading, then ventures into the distant reading processes of sentiment analysis and entity analysis, and then returns again to close reading when the data must be analyzed and the broken computational elements must be corrected. While examining the syntactical structure of traumatic and non-traumatic passages through this broken reading methodology, I found that Wallace represents trauma as gendered. The male characters in the novel, when recollecting past traumata or undergoing traumatic events, maintain their subject status, recognize those around them as subjects, and are able to engage actively with the world around them. On the other hand, the female characters in the novel are depicted as lacking the same capacities for subjectivity and action. Through computational text analysis, it becomes clear that Wallace writes female trauma in a way that reflects their lack of agency and subjectivity while he writes male trauma in a way that maintains their agency and subjectivity. Through close reading, I was able to discover qualitative differences in Wallace’s representations of trauma and form initial observations about syntactical and linguistic patterns; through distant reading, I was able to quantify the differences I uncovered through close reading by conducting part of speech tagging, entity analysis, semantic analysis, and sentiment analysis. Distant reading led me to discover elements of the text that I had not noticed previously, despite the occasional flaw in computation. The analyses I produced through this broken reading process grew richer because of failure—when I failed as an interpreter, and when computational analysis failed, these failures gave me further insight into the trauma writing within the novel. Ultimately, there are marked syntactical and linguistic differences between the way that Wallace represents male and female trauma, which points toward the larger question of whether other white male postmodern authors gender trauma in their writings, too. This study has generated a prototype model for the <i>broken reading </i>methodology, which can be used to further examine postmodern trauma writing.</p>
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