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Autores
Orientador(es)
Resumo(s)
In recent years, the digital landscape has undergone significant transformations, with social
media platforms emerging as crucial channels for communication, entertainment, and
community engagement. The COVID-19 pandemic further accelerated this trend, prompting a
surge in online activity as individuals sought connection and entertainment lost in its
traditional in-person form in virtual spaces. Twitch, a prominent live streaming platform with
a primary focus on video gaming content, experienced remarkable growth during this period.
This thesis aims to enhance the understanding of digital consumer behavior through adverse
conditions caused by a pandemic crisis by analyzing three distinct periods within the virus
timeline. Topic modeling and sentiment analysis techniques are employed to explore the focus
of audience attention and seek to comprehend the emotional dynamics of the audience. The
findings reveal nuances and insights that diverge from trends observed on other platforms,
therefore contributing to a deeper understanding of the pandemic’s impact on digital
communication.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Twitch.TV Live streaming COVID-19 Sentiment analysis Topic modeling
