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 language | English |
|---|---|
| Title of host publication | Proceedings of the 11th International Conference on Data Science, Technology and Applications |
| Editors | Alfredo Cuzzocrea, Oleg Gusikhin, Wil van der Aalst, Slimane Hammoudi |
| Place of Publication | Red Hook |
| Publisher | Curran Associates, Inc. |
| Pages | 423-431 |
| Number of pages | 9 |
| Volume | 1 |
| ISBN (Electronic) | 9789897585838 |
| ISBN (Print) | 9781713863861 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 11th International Conference on Data Science, Technology and Applications - Lisbon, Portugal Duration: 11 Jul 2022 → 13 Jul 2022 |
Conference
| Conference | 11th International Conference on Data Science, Technology and Applications |
|---|---|
| Abbreviated title | DATA2022 |
| Country/Territory | Portugal |
| City | Lisbon |
| Period | 11/07/22 → 13/07/22 |