TCC - Bacharelado em Sistemas da Informação (Sede)
URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/427
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Resultados da Pesquisa
Item Análise de sentimentos dos tweets relacionados ao Superior Tribunal Federal no ano de 2019(2022-11-10) Cadengue, Guilherme Lapa de Araújo; Andrade, Ermeson Carneiro de; Bocanegra, Silvana; http://lattes.cnpq.br/4596111202208863; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/8502533221842320The Social media since its inception has affected all Internet users. Networks such as Twitter provide a new form of communication, interaction and, above all, a way of expressing opinions about the different events of life in society, consequently enabling the generation of content. Knowing the opinions of Brazilians about public institutions is very important for engaging people in society, as agents participating in decisions that affect all individuals, that is, it is a form of social inclusion. The application of Sentiment Analysis is carried out in several areas in order to extract the content of public opinion. The objective of this work is to identify the feelings of the Brazilian population about the Superior Federal Court of Brazil through the content of published tweets between January and December 2019. For this, the tweets in the period were collected, which were pre-processed, classified and then analyzed. The results show highly polarized opinions, but generally negative opinions regarding the STF are predominant (estimate at 51.7%).Item Análise de Sentimos de Tweets Relacionados ao Uso de Máscara Durante a Pandemia da Covid-19 no Brasil(2022-10-07) Oliveira, Felipe de Araújo Morais Vilar; Andrade, Ermeson Carneiro de; http://lattes.cnpq.br/2466077615273972The world has recently gone through a global crisis. The COVID-19 pandemic began in a Chinese city called Wuhan in mid-December 2019 and spread across the world, infecting more than 596 million people and causing about 6.68 million fatalities. As the COVID-19 virus has much of its proliferation and contagion through the airways, experts and scholars in the health area recommended that the entire population wear masks in an attempt to stop the number of cases by creating a physical barrier to try to contain the respiratory droplets that serve as a means of spreading the virus. The use of masks in Brazil was adopted at the beginning of April of the year 2020, but its mandatory only started around the end of May of the same year. However, the misinformation about the use of the face mask generated great controversy, doubts and discomfort among the Brazilian population. This work aims to analyze the feeling of the Brazilian population regarding the use of masks as PPE (Personal Protective Equipment) through posts (tweets) taken from Twitter. The results reveal that an average of 89.3% of the tweets related to face masks were neutral. Most of these neutral tweets show the Brazilian population’s discomfort in using masks, but at the same time accepting the need to use them in an attempt to stop the spread of COVID-19.Item Análise de sentimentos em Tweets relacionados ao desmatamento da Floresta Amazônica(2021-12-17) Silva, Vinicius José Paes e; Andrade, Ermeson Carneiro de; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/7437953784606274The Amazon Forest is being devastated at the fastest pace in recent years. In 2021, the Amazon rainforest registers the largest accumulation of deforestation in 5 years, increasing from 13 thousand km2 between August 2020 and July 2021. An increase of 22% compared to the same period in the previous year, the highest number since 2006. Although many works address the issue of deforestation, none of them focus on analyzing the sentiments of the Brazilian population regarding the issue. This work presents an analysis of the sentiments of the Brazilian population related to the deforestation of the Amazon rainforest through the text mining of Twitter and aims to understand how Brazilian users opine and dialogue about the deforestation of the Amazon rainforest. The results reveal that Brazilian users tend to react to events related to deforestation in the Amazon forest on Twiter and that most users have a negative sentiment about the topic, reaching peaks of approximately 60% of tweets in a given time.