Bacharelado em Ciência da Computação (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/6
Siglas das Coleções:
APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso
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Resultados da Pesquisa
Item Análise de sentimentos de tweets relacionados a vacinas antes e durante a pandemia da COVID-19 no Brasil(2023-03-01) Silva, Íkaro Alef de Lima; Andrade, Ermeson Carneiro de; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/7938306473921402In early 2020, the COVID-19 disease spread rapidly around the world and one of the ways to fight it is the vaccine. Governments faced problems with fake news and anti-vaccination groups. Thus, it is necessary to understand the feelings of the population in order to propose efficient public policies. This article describes a sentiment analysis on vaccine-related tweets in Brazil from June 2020 to June 2021. The results revealed peaks in total tweets in January and May 2021, the predominance of positive tweets, and feelings of confidence, fear, submission and sadness. They are also associated with former President Jair Bolsonaro. The negative polarity was the least common, showing that the Brazilian population was receptive to vaccines.Item Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic(2021-02-19) Silva, Henrique Farias Pereira da; Andrade, Ermeson Carneiro de; Araújo, Danilo Ricardo Barbosa de; Dantas, Jamilson Ramalho; http://lattes.cnpq.br/5655706091153128; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/9810796504568932The COVID-19 pandemic has affected the whole world since the beginning of 2020. In Brazil, over 70% of the population rely on the Brazil’s Unified Health System (SUS). Knowing public opinion related to SUS is very important for the improvement of services and assistance provided by such an entity. Sentiment analysis has been used in several applications including social networks and blogs to extract public opinion. Despite the fact that other papers have already worked with sentiment analysis, none of them have focused on SUS. Therefore, the goal of this paper is to analyse the sentiments shown by Brazillian Twitter users about SUS before and during COVID-19 pandemic. To reach this goal, a database of portuguese tweets regarding SUS posted between december 2019 and october 2020 was created. The tweets were pre-processed, classified and then analysed. The results show that, in most cases, users are in favor of SUS.Item Os efeitos da (in)felicidade no processo dedesenvolvimento de software(2019) Falcão, Tiago Coutinho; Marinho, Marcelo Luiz Monteiro; http://lattes.cnpq.br/3362360567612060; http://lattes.cnpq.br/8796523691341550In the software development process, the main actor responsible for directly impacting production is the individual.With the increase of literature and professional experiences,as well as the importance of studying the human being, recent studies involving the human aspects in software engineering seek to relate psychological factors with exact sciences. Studies show that emotions such as (un) happiness in a software development environment are directly linked to software quality, affecting developer performance.Understanding happiness and unhappiness can be worked out in ways that improve work environment, productivity, and developer motivation. This paper aims to identifythe effects of (un) happiness on the performance of software developers operating in the state of Pernambuco. In this paper, we will analyze the effects and moderating fac-tors that influence the performance of developers when they are happy and un happy during the software development process. Based on a literature review and the opin-ion of those involved in software development, through a questionnaire, which was at-tended by 71 developers, the moderating factors capable of emotionally influencing theindividual leading to the improvement or worsening of their performance were raised.These include: negatively influencing mental and physical health and team motivation as a positive moderating factor.Although some companies have flexibility in many ways such as clothing, coffee breaks and leisure spaces, developer attention is often not explored individually. In this paper, we can conclude that factors such as Mental Health prove that care for the well-being of the individual is extremely important for the proper functioning of the development process.Item Abordagem híbrida e independente de domínio para extração de aspectos na análise de sentimentos(2018) Lins, André Lucas Machado; Lima, Rinaldo José de; http://lattes.cnpq.br/7645118086647340; http://lattes.cnpq.br/3233947254235611Opinions are central in most of the human activities and are keys of influence to our behaviors. Our beliefs, perception of reality and our choices are in a considerable degree, influenced by how people see and evaluate the world. In view of this statement theSentimentAnalysis(SA)hasbeengrowingconstantly,thepossibilityofunderstand people’sfeelingsandopinionsaboutcertainsubjectsgetseveryoneexcited.Sentiment Analysisisthecomputationalstudyofpeople’sopinions,attitudesandemotionsabout some entity. The literature about Sentiment Analysis is pretty wide, having too many ways of execute such tasks. A variation of SA called Aspect based Sentiment Analysis (ABSA) has been receiving researchers attention. In this approach feelings are identified in relation to sentence aspects, in order to discern those that are treated in eachsentenceordocument.ABSAisdividedinthreemajortaskswhicharetheextraction,classificationandaggregationoftheaspect,havingaspectextractionasthemost complextask.There’sseveralapproachestosolvetheaspectextractiontask,although manyoftheseapproachesaredomaindependent,makingdifficulttoreplicatetheseapproaches to domains that does not have the same features. Therefore, this work aims topurposeadomainindependenthybridmethodtoaspectsextraction,thatconsistsin fourmajorsteps.Thefirstoneidentifyallthepossibleaspectsoutofsemanticrulesfor eachsentence.Afterthisstep,willbegeneratedalexicalofallthesentenceshavingthe aspectsandmostrelevantfeelings.Inthefollowstepismadethepruningofpossibleaspectsusingsemanticrulesthroughthelexicalofaspectsandfeelingsmadepreviously. Lastly,ismadeaselectionamongtheremainingaspectsbyadynamicthreshold.This purpose was evaluated in the Semeval’s dataset, containing opinions about several aspects related to restaurants and laptops, using the most adopted evaluation metrics in literature. The experimental results imply that the proposed method is competitive when it’s compared to many other methods dependents and independents of state of art domain.