Navegando por Data de Publicação, começando com "2023-05-08"

Filtrar resultados por ano ou mês

Agora exibindo 1 - 2 de 2

Abordagem computacional para avaliação automática da qualidade da argumentação na dimensão retórica de tweets no domínio da política brasileira
(Universidade Federal de São Carlos, 2023-05-08) Silva, Cássio Faria da; Neris, Vânia Paula de Almeida; https://lattes.cnpq.br/0268728255033469; https://orcid.org/0000-0002-4059-8700; Caseli, Helena de Medeiros; https://lattes.cnpq.br/6608582057810385; https://orcid.org/0000-0003-3996-8599; https://lattes.cnpq.br/1698993001389495; https://orcid.org/0000-0002-9420-8608
Research in the area of argumentation, inherent to human beings and essential for both spoken and written communication, dates back to the 4th century BC. The argument is multidisciplinary and covers several fields of research, including computer science. Communication has evolved to social networks, which are a considerable source of argumentative texts in various domains, such as politics. The automatic evaluation of arguments is the subject of recent studies in the area of Natural Language Processing and computational models that seek to perform this task are being proposed, especially based on algorithms based on Support Vector Machines and Deep Learning. In parallel, corpus of argumentative texts in English are being produced. As a way of contributing to research related to the assessment of the quality of argumentation in Portuguese, this work aims to propose, implement and validate a computational approach, for the automatic assessment of the quality of argumentation in the rhetorical dimension in tweets related to Brazilian politics. The approach involves developing a computational model, an annotated corpus with policy-related messages, and task-specific annotation guidelines. The studies carried out here showed that the most appropriate way to assess the quality of arguments in tweets related to Brazilian politics was using a neural model generated from the fine-tuning of BERTimbau. The proposed model was able to predict with 100% accuracy instances of the High quality argumentation class.
Avaliação de áreas prioritárias para restauração florestal como medida conservacionista dos recursos hídricos
(Universidade Federal de São Carlos, 2023-05-08) Souza, Andressa Fernanda Cordeiro de; Martines, Marcos Roberto; https://lattes.cnpq.br/5317839291904450; https://orcid.org/0000-0002-7464-2431; https://lattes.cnpq.br/4736331442174698; https://orcid.org/0009-0004-2376-8781
The current scenario of demand for water for supply reinforces the imminent need for responsible management of water resources, aiming at adequate treatment and efficient availability for quality distribution to the population and other activities that demand the resource in society. The conservation of water resources presupposes an analysis of the interaction and functional unity between the water element and the other elements of the landscape, such as vegetation and soil, as well as an integrated analysis of the spatial dynamics of vegetation cover and land uses. This work aims to establish an environmental diagnosis based on the elaboration of a synthesis map of criticality of Capela do Alto/SP. The Ponderative Boolean Method technique was used, based on the analysis of the landscape in the APPs in each sub-basin of the municipality, in order to evaluate the priority areas for forest recovery as a conservationist measure of water resources. The analysis of land uses showed that the municipality has 1/3 of its territory with a predominance of the clean field classification (39%), followed by the forest classification (20%) and exposed soil (14%). The land uses in the hydrographic APP delimitation show predominance of forest (41%) and clean field (34%). The diagnosis of environmental fragility was based on the correlation of four analysis factors: vegetation cover and land use, hydrographic APP zoning, slope models and soil types, observing that 80% of all 10 sub-basins have at least more than 50% of its delimited area classified as high and very high environmental fragility in relation to the conservationist potential of water resources. Data validation shows that the groups of sub-basins represent different sets among themselves and, therefore, it is necessary to evaluate the priority areas based on the integrated correlation of factors (physical, social, economic and environmental), as well as being valid for a decision making as separate units.