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Article . 2025 . Peer-reviewed
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Análisis de sentimientos de startups usando un enfoque basado en léxicos

Authors: Fortich Mesa, Roberto Carlos; Muñoz Guzmán, Michael; Santís Puche, María Alejandra; Fortich Mesa, Roberto Carlos; Muñoz Guzmán, Michael; Santís Puche, María Alejandra;

Análisis de sentimientos de startups usando un enfoque basado en léxicos

Abstract

Over the past decade, the proliferation of start-ups has seen significant growth, alongside advancements in technological innovation and access to funding in Latin America. This study explores the perceptions of start-up founders and managers regarding investor expectations using advanced lexicon-based sentiment analysis techniques. Public documents from five prominent start-ups in the region—Nu Bank, Merqueo, Platzi, La Haus, and Rappi—were collected and analyzed. The results reveal that terms such as "complexity," "theft," and "fraud" dominate Nu Bank's corpus, indicating significant concerns about the usability and security of their services. It is concluded that it is essential for start-ups to optimize user experience, strengthen security measures, and maintain transparent communication to effectively manage investor expectations and reinforce user trust. This study offers valuable insights for other start-ups in the region on the importance of addressing these critical challenges.

Country
Colombia
Related Organizations
Keywords

start ups, Sentiment analysis, Análisis de sentimientos, lexicon-based approach, expectativas de inversionistas, minería de texto, text-mining, método basado en lexicones, investors expectations, Comunicaciones, Communications

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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
Green
gold