Abstract
Publications home
Aspect Based Sentiment Analysis into the Wild
at
| Caroline Brun, Vassilina Nikoulina |
| WASSA (Workshop EMNLP), Brussels, Belgium, 31 October-4 November, 2018 |
@inproceedings{brun-nikoulina-2018-aspect,
title = "Aspect Based Sentiment Analysis into the Wild",
author = "Brun, Caroline and
Nikoulina, Vassilina",
booktitle = "Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis",
month = oct,
year = "2018",
address = "Brussels, Belgium",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/W18-6217",
pages = "116--122",
}In this paper, we test a state-of-the-art Aspect Based Sentiment Analysis system trained on a widely used dataset on “real” data. We created a new manually annotated dataset of user generated data from the same domain as the training dataset, but from other sources and analyse the differences between the new and the standard ABSA dataset. We then analyse the results in performance of different versions of the same system on both datasets. We also propose light adaptation methods to increase system robustness.
This web site uses cookies for the site search, to display videos and for aggregate site analytics.
Learn more about these cookies in our privacy notice.
Cookie settings
You may choose which kind of cookies you allow when visiting this website. Click on "Save cookie settings" to apply your choice.
This content is currently blocked. To view the content please either 'Accept social media cookies' or 'Accept all cookies'.
For more information on cookies see our privacy notice.