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O IMPACTO DA PANDEMIA NOS MICRO E PEQUENOS EMPRESÁRIOS: APLICAÇÃO DE MODELAGEM DE TÓPICOS EM COMENTÁRIOS NO INSTAGRAM

Authors: Boaro, Júlio; Cabral, Mauro; Homenko, Alexander;

O IMPACTO DA PANDEMIA NOS MICRO E PEQUENOS EMPRESÁRIOS: APLICAÇÃO DE MODELAGEM DE TÓPICOS EM COMENTÁRIOS NO INSTAGRAM

Abstract

A presente pesquisa exploratória consiste na aplicação de técnica de modelagem de tópicos, denominada Latent Dirichlet Allocation ou LDA, em comentários publicados na plataforma de mídia social Instagram em posts de perfis dos principais veículos editoriais de notícias que publicam sobre empreendedorismo, negócios e temas relacionados. Foram coletados posts e comentários de um total de 9 perfis ao longo de 17 meses de pandemia, que foram tratados para análise. A aplicação da técnica de modelagem de tópicos permitiu identificar diferentes temas abordados facilitando a análise exploratória do impacto que a pandemia causou e que foi comentado pelos micro e pequenos empreendedores no Instagram. A técnica se mostrou eficaz e adequada para uma análise exploratória em um contexto de big data, permitindo a seleção de uma amostra de comentários para leitura analítica entre dezenas de milhares, agrupada por tópicos, e sem os vieses de leitura da realidade se considerasse apenas os conteúdos que nos chegam mediados pelos algoritmos das plataformas, como os conteúdos virais.

This exploratory research consists of applying a topic modeling technique, called Latent Dirichlet Allocation or LDA, in comments published on the social media platform Instagram in profile posts of the main editorial news vehicles that publish about entrepreneurship, business and related topics. Posts and comments were collected from a total of 9 profiles over the 17 months of the pandemic, which were processed for analysis. The application of the topic modeling technique allowed us to identify different topics covered, facilitating the exploratory analysis of the impact that the pandemic caused and that was commented on by micro and small entrepreneurs on Instagram. The technique proved to be effective and adequate for an exploratory analysis in a big data context, allowing the selection of a sample of comments for analytical reading among tens of thousands, grouped by topics, and without the biases of reading reality if only the contents that reach us mediated by platform algorithms, such as viral contents.

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Keywords

Empreendedorismo, Pandemia, Negócios, Pandemic, Topic Modeling, Social Networking Analysis, Modelagem de Tópicos, Análise de Redes Sociais, Entrepreneurship, Business

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average