Titlebook: Digital Humanities Looking at the World ; Exploring Innovative Sílvia Araújo,Micaela Aguiar,Liana Ermakova Book 2024 The Editor(s) (if appl

大都市

Licentious

helper-T-cells

duplicate

Second Language Learning and Teachinged with standard topic modeling metrics of Coherence and Diversity. A new Utility metric based on canonical correlation is introduced. The three metrics identified a 20-topic solution most useful with a specific survey response dataset. This approach generalizes to literary and historical research o

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https://doi.org/10.1007/978-3-319-62884-4iterature. In this chapter, the objective was to instantiate the MSLR to research information security and the Brazilian General Data Protection Law (called LGPD) in the public health area, based on the steps proposed by Kitchenham and Charters (., 2007) for an SLR and in the steps for inclusion of

波動(dòng)

Second Language Learning and Teaching the names of Luiz Inácio Lula da Silva and Jair Bolsonaro were used by candidates who were not running for the presidential position. The results showed that, in spite of the strong polarized context, the majority of the content was about the same general theme. We could observe the polarization on

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DEBT

Negative Comments Towards Formula 1 Drivers on Twitter formations of discursive communities controlled by the fans of the sport facilitates our data collection. We will analyse whether these negative comments are influenced by personal prejudice or stereotypes. Our results confirmed that racial prejudice was witnessed in the data.

異端

Analysis of Online Electoral Advertising in 2022 Brazilian Elections Using Topic Modeling the names of Luiz Inácio Lula da Silva and Jair Bolsonaro were used by candidates who were not running for the presidential position. The results showed that, in spite of the strong polarized context, the majority of the content was about the same general theme. We could observe the polarization on less than 10% of the ads analyzed.