Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection
Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C Raina MacIntyre
Abstract
Vaccination behaviour detection deals with predicting whether or not a person received/was about to receive a vaccine. We present our submission for vaccination behaviour detection shared task at the SMM4H workshop. Our findings are based on three prevalent text classification approaches: rule-based, statistical and deep learning-based. Our final submissions are: (1) an ensemble of statistical classifiers with task-specific features derived using lexicons, language processing tools and word embeddings; and, (2) a LSTM classifier with pre-trained language models.- Anthology ID:
- W18-5911
- Volume:
- Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task
- Month:
- October
- Year:
- 2018
- Address:
- Brussels, Belgium
- Editors:
- Graciela Gonzalez-Hernandez, Davy Weissenbacher, Abeed Sarker, Michael Paul
- Venue:
- EMNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 43–47
- Language:
- URL:
- https://aclanthology.org/W18-5911
- DOI:
- 10.18653/v1/W18-5911
- Cite (ACL):
- Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, and C Raina MacIntyre. 2018. Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. In Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, pages 43–47, Brussels, Belgium. Association for Computational Linguistics.
- Cite (Informal):
- Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection (Joshi et al., EMNLP 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W18-5911.pdf
- Data
- IMDb Movie Reviews, WikiText-103, WikiText-2