Sentiment Analysis: Brazilian College Institutions Analysis in Pandemic Times

Gabriel Lavalle Garrido
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引用次数: 1

Abstract

. The opinion of the population regarding a certain product or service is particularly important for an institution, and with this information it is possible to analyze the quality of the service offered. During the Covid-19 pandemic, conducting this type of satisfaction survey became even more valuable when carried out on social networks, where everyone is connected and sharing their experiences. By collecting the texts published by Twitter users about higher education institutions in Brazil, it was possible to carry out an analysis of feelings, where analytical data were obtained regarding the satisfaction of students with their respective universities during a pandemic and social isolation. Relevant complexity was found for the natural language assessment and emotional analysis process for the context of the Portuguese language (slang, misspellings, emojis), but an effective experiment methodology was proposed, tested and validated. As a result, expressive evaluations of universities active in the Brazilian scenario were obtained, with a quantitative and qualitative analysis of the emotions that are present on the internet about the institution. It is worth mentioning that emotions such as the desire to leave home, tiredness due to excessive hours on computers for classes and other issues that are commonly discussed, were found during the research, which reinforced the social importance of the work.
情绪分析:流行病时期的巴西大学机构分析
. 人们对某种产品或服务的意见对一个机构来说特别重要,有了这些信息,就有可能分析所提供服务的质量。在2019冠状病毒病大流行期间,在社交网络上进行这种满意度调查变得更加有价值,因为每个人都在社交网络上联系并分享他们的经历。通过收集Twitter用户发布的关于巴西高等教育机构的文本,可以对感受进行分析,从而获得关于大流行和社会隔离期间学生对各自大学满意度的分析数据。在葡萄牙语语境(俚语、拼写错误、表情符号)的自然语言评估和情感分析过程中发现了相关的复杂性,但我们提出了一种有效的实验方法,并对其进行了测试和验证。因此,通过对互联网上出现的关于该机构的情绪进行定量和定性分析,获得了在巴西情况下活跃的大学的表达性评估。值得一提的是,在研究过程中发现了诸如想要离开家的情绪,由于在电脑上上课时间过长而感到疲倦以及其他经常讨论的问题,这加强了这项工作的社会重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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