Identificador de sentimientos de comentarios de hoteles utilizando BERT

Walther Mauricio Medina Pauca; Camila Huamani Tito

doi:10.48168/innosoft.s11.a63

Walther Mauricio Medina Pauca Universidad La Salle https://orcid.org/0009-0001-5543-1663
Camila Huamani Tito Universidad La Salle

DOI: 10.48168/innosoft.s11.a63

PURL: 42411/s11/a63

ARK: ark:/42411/s11/a63

Palabras clave: Clasificación, comentarios, dataset, exactitud, promedio, procesamiento de lenguaje natural, NLP

Resumen

La forma de escribir del ser humano fue cambiando con el tiempo siendo reducidas/abreviadas por las nuevas generaciones. El proyecto investigará estas formas de escribir de la personas a través de comentarios de hoteles, para poder identificar y realizar su clasificación de acuerdo si este es un comentario formal o informal; a la vez se tratará de identificar cada uno de estos si cuenta con información positiva o negativa. Todos los procesos para identificar textos serán usados con el Procesamiento de lenguaje natural (NLP), así lograremos identificar diferentes oraciones de acuerdo al contexto que se encontrará en el comentario de la base de datos, la cual será sacada de TripAdvisor.

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