|
|
Mining health discussions on Suomi24 |
|---|---|
| Author: | Ibrahim, Moamen1; Eteläperä, Matti2; Turkmen, Sercan1; |
| Organizations: |
1Centre for Machine Vision Research, University of Oulu, Oulu, Finland 2Pepron Software Services Ltd. 3Lifelong Health Research Unit, University of Oulu, Oulu, Finland |
| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 0.5 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe202003319806 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2020
|
| Publish Date: | 2020-03-31 |
| Description: |
AbstractThis paper discusses an effective way to fuse multiple tools to make a modern and easy-to-use software to get some key findings about health related topics on online social platforms, with a special focus on the famous Finnish forum, Suomi24. Several natural language processing have been tested and, sometimes, modified in order to accommodate the Finnish language linguistic structure and achieve our tasks of mining the health discussion content. We also explore the ability to monitor and track diseases in Finish open discussion forum. The developed modular system can help clinicians and medical experts to analyze similar forums to identify and track related events that can be correlated with hospital dataset in order to generate new hypotheses that initiate future treatment based approaches. see all
|
| ISBN: | 978-1-7281-4328-6 |
| ISBN Print: | 978-1-7281-4329-3 |
| Pages: | 1580 - 1585 |
| DOI: | 10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00232 |
| OADOI: | https://oadoi.org/10.1109/ISPA-BDCloud-SustainCom-SocialCom48970.2019.00232 |
| Host publication: |
2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) |
| Conference: |
IEEE International Conference on Social Computing and Networking |
| Type of Publication: |
A4 Article in conference proceedings |
| Field of Science: |
113 Computer and information sciences |
| Subjects: | |
| Funding: |
This work is partly supported by Finnish Cancer Foundation on Psychosocial factors on cancer community (2017-2019), and EU YoungRes (#823701). |
| Copyright information: |
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |