Exploring Corporate Reputation based on Sentiment Polarities That Are Related to Opinions in Dutch Online Reviews

R. E. Loke, J. Vergeer

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

This research demonstrates the power and robustness of the vocabulary method by Hernández-Rubio et al. (2019) for aspect extraction from online review data. We showcase that this algorithm not only works on the English language based on the CoreNLP toolkit, but also extend it on the Dutch language, specifically with aid of the Frog toolkit. Results on sampled datasets for three different retailers show that it can be used to extract fine-grained aspects that are relevant to acquire corporate reputation insights.
Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Data Science, Technology and Applications
EditorsAlfredo Cuzzocrea, Oleg Gusikhin, Wil van der Aalst, Slimane Hammoudi
Place of PublicationRed Hook
PublisherCurran Associates, Inc.
Pages423-431
Number of pages9
Volume1
ISBN (Electronic)9789897585838
ISBN (Print)9781713863861
DOIs
Publication statusPublished - 2023
Event11th International Conference on Data Science, Technology and Applications - Lisbon, Portugal
Duration: 11 Jul 202213 Jul 2022

Conference

Conference11th International Conference on Data Science, Technology and Applications
Abbreviated titleDATA2022
Country/TerritoryPortugal
CityLisbon
Period11/07/2213/07/22

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