Work

Bias correction methodology for online product ratings using affective text mining and item response theory

Year: 2025

Type: article

Abstract: de sesgo para valoraciones de productos en línea utilizando minería de texto afectiva y teoría de respuesta a ítem

Source: Ingeniare. Revista chilena de ingeniería

DOI: 10.4067/s0718-33052024000100233

Authors: Eduardo Jorquera, Daniel Cabrera-Paniagua, Camilo Gómez-Narváez, Harvey Rosas

Institution: University of Valparaíso

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4410161407

FWCI: 0.427

Cites: 34

Cited by: 1

Related to: 10