Abstract
We present a gold standard of annotated social opinion for the Malta Government Budget 2018. It consists of over 500 online posts in English and/or the Maltese less-resourced language, gathered from social media platforms, specifically, social networking services and newswires, which have been annotated with information about opinions expressed by the general public and other entities, in terms of sentiment polarity, emotion, sarcasm/irony, and negation. This dataset is a resource for opinion mining based on social data, within the context of politics. It is the first opinion annotated social dataset from Malta, which has very limited language resources available.- Anthology ID:
- D19-5547
- Volume:
- Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)
- Month:
- November
- Year:
- 2019
- Address:
- Hong Kong, China
- Editors:
- Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi
- Venue:
- WNUT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 364–369
- Language:
- URL:
- https://aclanthology.org/D19-5547
- DOI:
- 10.18653/v1/D19-5547
- Cite (ACL):
- Keith Cortis and Brian Davis. 2019. A Social Opinion Gold Standard for the Malta Government Budget 2018. In Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019), pages 364–369, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- A Social Opinion Gold Standard for the Malta Government Budget 2018 (Cortis & Davis, WNUT 2019)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/D19-5547.pdf