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- W4381281566 abstract "Social networks have been one of the most important and impressive events in recent history, they have evolved from a direct electronic exchange of information, to become a place for virtual meetings, business platforms, and essential marketing tools of the 21st century. This trend has increased the use of social networks as a channel for communicating opinions and comments from customers about the company’s products and services, therefore, there is an enormous opportunity in taking advantage of this closeness with the user and understanding what they are talking about. This is how the development of a model that allows classifying user comments depending on their linguistic content is proposed. This project focuses on the analysis of comments from the social network Twitter in the Colombian financial sector, which will be developed regarding the CRISP-DM methodology." @default.
- W4381281566 created "2023-06-21" @default.
- W4381281566 creator A5038867483 @default.
- W4381281566 date "2023-05-30" @default.
- W4381281566 modified "2023-10-03" @default.
- W4381281566 title "Modelo de clasificación de peticiones, quejas, reclamos y sugerencias en el sector financiero" @default.
- W4381281566 doi "https://doi.org/10.11144/javeriana.10554.61721" @default.
- W4381281566 hasPublicationYear "2023" @default.
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