Text classification techniques and sentiment analysis can be applied to understand and predict the behavior of users by exploiting the massive amount of data available on social networks. In this context, trend analysis tools based on supervised machine learning are crucial. In this work, a framework for spatio-temporal trend analysis of Brazilian presidential election trends based on Twitter data is proposed. Experimental results show that the proposed framework presents good effectiveness in predicting election results as well as providing tweet author's geolocation and tweet timestamp. According to our results the spatio trend analysis applying our framework via SVM on the Twitter data returns an accuracy close to 90% when the Support Vector Machine (SVM) algortihm is applied for sentiment classification.
The process of identifying and managing Information and Communication Technology (ICT) risks has become a concern and a challenge for public and private organizations. In this context, risk management methodologies within the Brazilian Federal Public Administration organizations have become indispensable to help the managers of these organizations in decision making, especially in the distribution of public funds, elaboration of public policies focused on transparency, social actions contemplating indemnities, and social benefits, among others. In addition, the various ICT projects controlled by the public administration need a methodology to perform their management of ICT resources. In this article, we present the Governance and Risk Management methodology used to model the Administrative Council for Economic Defense (CADE) macro processes. The proposed methodology used the risk management process aligned to the ISO 31000 standards. This alignment was necessary for mapping CADE’s risk events, regardless of their complexity. The modeled ICT risk processes will support the organization’s managers in decision making and may be used or customized by any other organization of the Brazilian Federal Public Administration.
This Research Full Paper studies the impact of using Calango language in the introductory learning of algorithms and computer programming by Brazilian engineering undergraduates. Calango is an educational multi-platform tool designed to facilitate algorithm learning and provide a simple syntax that enables developing advanced logic, so that students concentrate on logic without worrying about language details, considering its based on Portuguese pseudocode commands. A survey was conducted to evaluate if the teaching methods and tools used in the engineering introductory computer programming course were helpful. The questionnaire was applied at the end of four consecutive semesters of lecturing the course, and five questions were selected to analyze Calango’s influence in the learning process. Approximately 95% of the participants agreed that Calango should continue in the class. Students reported that the learning of C language was more accessible due to the initial contact with Calango, mainly because they could write code in Portuguese, their native language. Overall results show that Calango was well-received by students, and it eased their early programming learning.
9 March 2020 in Encontros Bibli: Revista Eletrônica de Biblioteconomia e Ciência da Informação
Objetivo: Recorte de uma pesquisa sobre a internacionalização da Arquivologia e institucionalização da disciplina no Brasil a partir dos seus diálogos com a França, este artigo objetiva apresentar a participação de pesquisadores da comunidade arquivística brasileira em cursos, publicações e eventos científicos franceses. Método: Em uma abordagem quali-quantitativa, caracteriza-se como uma pesquisa exploratória e descritiva, desenvolvida a partir da análise documental de 499 currículos de autores, orientadores e coorientadores de 470 teses, dissertações e TCCs sobre arquivos e Arquivologia, cadastrados na Plataforma Lattes do CNPq. Resultado: Os resultados deste mapeamento são comparados aos de um levantamento de 2011 e representam um aumento de mais de três vezes no número de pesquisas; de mais de duas vezes no número de pesquisadores, no de mestrados e doutorados cursados na França e no de artigos publicados em periódicos franceses; e de mais de seis vezes no número de capítulos de livros publicados naquele País. Conclusões: Ainda que as informações mapeadas nos currículos dos pesquisadores brasileiros estejam aquém da realidade, constatou-se um aumento significativo no número de suas participações em cursos, publicações e eventos científicos franceses. Contudo, essas participações ainda são escassas, tanto quantitativa quanto qualitativamente, diante das tradicionais relações entre o Brasil e a França.