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Authors: R. E. Loke and J. Vergeer

Affiliation: Centre for Market Insights, Amsterdam University of Applied Sciences, Amsterdam, The Netherlands

Keyword(s): Aspect Based Sentiment Analysis (ABSA), Opinion Mining, English Texts, Dutch Texts.

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.

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Paper citation in several formats:
Loke, R. E. 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 - DATA; ISBN 978-989-758-583-8; ISSN 2184-285X, SciTePress, pages 423-431. DOI: 10.5220/0011285500003269

@conference{data22,
author={R. E. 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 - DATA},
year={2022},
pages={423-431},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011285500003269},
isbn={978-989-758-583-8},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - DATA
TI - Exploring Corporate Reputation based on Sentiment Polarities That Are Related to Opinions in Dutch Online Reviews
SN - 978-989-758-583-8
IS - 2184-285X
AU - Loke, R.
AU - Vergeer, J.
PY - 2022
SP - 423
EP - 431
DO - 10.5220/0011285500003269
PB - SciTePress

- Science and Technology Publications, Lda.
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