Bias correction methodology for online product ratings using affective text mining and item response theory
Bias correction methodology for online product ratings using affective text mining and item response theoryMetodologa de correccin de sesgo para valoraciones de productos en lnea utilizando minera de texto afectiva y teora de respuesta a tem
Authors
- Harvey Rosas (ORCID: https://orcid.org/0000-0002-1751-9701)
- Daniel Cabrera‐Paniagua (ORCID: https://orcid.org/0000-0001-5826-287X)
- Eduardo Jorquera
- Camilo Gómez-Narváez
Institutions
- Viña del Mar University (CL)
- Fraunhofer Chile Research Foundation (CL)
- University of Valparaíso (CL)
Publication Details
- Journal
- Ingeniare. Revista chilena de ingeniería
- Published
- 2025-04-01
- DOI
- https://doi.org/10.4067/s0718-33052024000100233
- Primary Topic
- Technology and Data Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00