RT Journal Article
T1 A business context aware decision-making approach for selecting the most appropriate sentiment analysis technique in e-marketing situations
A1 Bueno García, Itzcoatl
A1 Carrasco González, Ramón Alberto
A1 Ureña, Raquel
A1 Herrera-Viedma, Enrique
AB In the era of social media, consumers interact and exchange information, subjective opin ions, feelings or thoughts about a given issue, a product or a service, via Web 2.0 technolo gies. As a result, electronic Word of Mouth, eWOM, has gained increasing influence on the formation of user opinions. Therefore, extracting and analyzing eWOM statements by means of Sentiment Analysis techniques is currently a hot topic that could potentially pro vide companies with key information about their customers. However, among all the avail able techniques, choosing the most appropriate one according to the analysis criteria is a real challenge. In this contribution, we first study the main desirable criteria for a senti ment analysis approach and classify the different existing approaches based on these cri teria to try and provide a solution to this issue. We then propose a Multi-criteria Decision-Making methodology that selects the most suitable technique for each business case by taking their particular criteria into account.
PB Elsevier
YR 2022
FD 2022
LK https://hdl.handle.net/20.500.14352/114165
UL https://hdl.handle.net/20.500.14352/114165
LA eng
NO Bueno, I., Carrasco, R. A., Ureña, R., & Herrera-Viedma, E. (2022). A business context aware decision-making approach for selecting the most appropriate sentiment analysis technique in e-marketing situations. Information Sciences, 589, 300–320. https://doi.org/10.1016/J.INS.2021.12.080
DS Docta Complutense
RD 9 abr 2025