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

R. Loke, J. Vergeer

2022

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.

Paper Citation

in Harvard Style

Loke R. and Vergeer J. (2022). Exploring Corporate Reputation based on Sentiment Polarities That Are Related to Opinions in Dutch Online Reviews. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-583-8, pages 423-431. DOI: 10.5220/0011285500003269

in Bibtex Style

@conference{data22,
author={R. Loke and J. Vergeer},
title={Exploring Corporate Reputation based on Sentiment Polarities That Are Related to Opinions in Dutch Online Reviews},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2022},
pages={423-431},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011285500003269},
isbn={978-989-758-583-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Exploring Corporate Reputation based on Sentiment Polarities That Are Related to Opinions in Dutch Online Reviews
SN - 978-989-758-583-8
AU - Loke R.
AU - Vergeer J.
PY - 2022
SP - 423
EP - 431
DO - 10.5220/0011285500003269