Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-18986| Publication type: | Working paper – expertise – study |
| Title: | Correlating twitter language with community-level health outcomes |
| Authors: | Schneuwly, Arno Grubenmann, Ralf Logean, Séverine Rion Cieliebak, Mark Jaggi, Martin |
| et. al: | No |
| DOI: | 10.21256/zhaw-18986 |
| Extent: | 8 |
| Issue Date: | 13-Jun-2019 |
| Publisher / Ed. Institution: | ZHAW Zürcher Hochschule für Angewandte Wissenschaften |
| Other identifiers: | arXiv:1906.06465v1 |
| Language: | English |
| Subject (DDC): | 006: Special computer methods 610: Medicine and health |
| Abstract: | We study how language on social media is linked to diseases such as atherosclerotic heart disease (AHD), diabetes and various types of cancer. Our proposed model leverages state-of-the-art sentence embeddings, followed by a regression model and clustering, without the need of additional labelled data. It allows to predict community-level medical outcomes from language, and thereby potentially translate these to the individual level. The method is applicable to a wide range of target variables and allows us to discover known and potentially novel correlations of medical outcomes with life-style aspects and other socioeconomic risk factors. |
| URI: | https://arxiv.org/abs/1906.06465v1 https://digitalcollection.zhaw.ch/handle/11475/18986 |
| License (according to publishing contract): | CC BY 4.0: Attribution 4.0 International |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| arxiv_1906.06465.pdf | Correlating Twitter Language with Community-Level Health Outcomes | 6.84 MB | Adobe PDF |  View/Open |
Show full item record
Schneuwly, A., Grubenmann, R., Logean, S. R., Cieliebak, M., & Jaggi, M. (2019). Correlating twitter language with community-level health outcomes. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-18986
Schneuwly, A. et al. (2019) Correlating twitter language with community-level health outcomes. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-18986.
A. Schneuwly, R. Grubenmann, S. R. Logean, M. Cieliebak, and M. Jaggi, “Correlating twitter language with community-level health outcomes,” ZHAW Zürcher Hochschule für Angewandte Wissenschaften, Jun. 2019. doi: 10.21256/zhaw-18986.
SCHNEUWLY, Arno, Ralf GRUBENMANN, Séverine Rion LOGEAN, Mark CIELIEBAK und Martin JAGGI, 2019. Correlating twitter language with community-level health outcomes [online]. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Verfügbar unter: https://arxiv.org/abs/1906.06465v1
Schneuwly, Arno, Ralf Grubenmann, Séverine Rion Logean, Mark Cieliebak, and Martin Jaggi. 2019. “Correlating Twitter Language with Community-Level Health Outcomes.” ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-18986.
Schneuwly, Arno, et al. Correlating Twitter Language with Community-Level Health Outcomes. ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 13 June 2019, https://doi.org/10.21256/zhaw-18986.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.