02. Unidade Acadêmica de Educação a Distância e Tecnologia (UAEADTec)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/2876
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Resultados da Pesquisa
Item Inovação tecnológica e arte publicitária: a interferência do uso da inteligência artificial em filmes publicitários sob a percepção do espectador(2023-10-25) Ferreira, Adalberto Ribeiro; Araújo Filho, Mironaldo Borges de; http://lattes.cnpq.br/4535402164652924; http://lattes.cnpq.br/1511373809509639Brands and advertising have been reinventing themselves as attractive images that are present in the public's memory and have become part of their daily lives. To do so, they adopt a variety of techniques to stand out in the consumer's mind amidst the wealth of information available. The aim of this study was to establish a relationship between the concepts of technology, innovation and artificial intelligence and advertising art, and thus understand how the use of artificial intelligence interferes with the perception and emotions of viewers of advertising films. The methodology applied was descriptive with a qualitative-quantitative approach. The collection instrument was a questionnaire about advertising films, in order to ascertain the interviewees' perception of the use of artificial intelligence in these films. Three advertising films were analyzed, one of which was created entirely with the help of artificial intelligence, another partially created with the help of AI and a third, without any help from AI. The results of the study showed that in all three films, the majority of respondents were able to identify which films were created with AI and which were not created with AI.Item Avaliação de algoritmos multi-classe para classificação de solicitações enviadas a Ouvidoria Geral do Estado de Pernambuco(2021-03-29) Carvalho, Luiz Henrique Teixeira; Ferreira, Jeneffer Cristine; http://lattes.cnpq.br/3000364145302421The Ombudsman’s Office is a public agency that covers the entire state of Pernambuco and every day receives several requests with the most varied themes involving all other organs of the state, with that in certain times of the year, these requests can come to burden the resources of State. The main objective of this work is to apply the multi-class classification algorithms to the data obtained from the transparency portal, and to try to predict requests sent to the Ombudsman’s Office of the State of Pernambuco To obtain data from the Ombudsman’s Office of the State of Pernambuco, data scraping was carried out on the Pernambuco Transparency Portal of Pernambuco. Data for the years 2017, 2018 and 2019 were obtained. The algorithms Decision Tree, Random Forest, Bagging and kNN were applied to the ombudsman data. The results showed that the automatic data classification algorithms, particularly the Decision Tree, Random Forest, Bagging algorithms achieved 55 percent and 32 percent in the type and organ classes respectively, taking advantage of one hit every two attempts in the type class and one hit every three attempts in the organ class. The algorithms were also evaluated about their performance in time of model creation and training, with the Decision Tree algorithm as the most performative.Item A importância dos Dados Estruturados, Não Estruturados e Semiestruturados os desafios da sua utilização nas organizações brasileiras(2022-02-18) Simões, Rachel Albuquerque Mangueira; França, Sônia Virginia Alves; http://lattes.cnpq.br/6477581135066258; http://lattes.cnpq.br/1476668673947358Due to the continuous advancement of Big Data and the increasing need to achieve competitive advantage in the market, organizations are facing the challenges and the importance of structured and unstructured data in the market, data has its space as the main actor on the role development of software, capable of identifying behavioral patterns of groups of clients, insights and identification of new opportunities. Thanks to this, in this work, the advantages and disadvantages, importance and challenges were raised, based on observational scientific research participant in a natural way, where data collection was necessary to obtain the information, using aspects, analyzing facts and phenomena of the object of study in question, effectively participating in the activities in order to highlight the most relevant points for organizations and society in general.