Monitoramento de postagens referente as instituições de ensino IFMT e UFMT em redes sociais na internet nos anos de 2019 e 2020

Abstract

Amid the rise of social networks in our society, social networks that offer a multiplicity of use, a wide virtual space with utility from social relationships, political discussions, mobilizations as well as a tool used by companies to get closer to their customers and public. -target. In this way, social networks are also used by educational institutions as a means of approaching the community in general, especially their students, while they also use social networks as a means of discussing and passing on issues that are related to these educational institutions. some way. In this sense, the general objective of this study is to represent and analyze data collected from social networks on the internet, Twitter and Facebook, through data mining from the years 2019 and 2020, referring to the public education institutions of Mato Grosso IFMT and UFMT and to make a comparison between Twitter and Facebook posts, in which Twitter posts are a collection of free publications and Facebook, the collection was carried out on the official channels of the institutions, in the case of comments as a result of official posts. It is noteworthy that this research has a quantitative nature, and that for a theoretical and conceptual basis, bibliographic research was used. For the collection of twitter data and for the analysis of all collected data, packages of the R program, version 4.1.2 were used. To collect data from Facebook, Netviz was used, which is an application from Facebook itself. As a result, it was found that social networks have considerable movement related to the keywords of the IFMT and UFMT research. Twitter publications, which were free publications, are much more spontaneous, and reverberate on various subjects related to the educational institutions studied. Facebook, on the other hand, for having collected the official profiles of the institutions, kept its comments much more focused and related to official publications. Regarding sentiment analysis, both institutions showed a predominance of positive feelings in the collection period.