Abstract
The rise of social media has led to an abundance of textual data, as well as the rise of unhealthy behaviours targeted at others (e.g. bullying, hate speech) or at oneself (e.g. suicide). In recent years, machine learning approaches have been employed to detect such behaviours, which tend to constitute a small portion of the social media content and need to be distinguished from other discourse on social media that may discuss such behaviours without displaying that behaviour, e.g. social media posts about helping people who may be at risk of suicide, thus, making this a very challenging task. In the context of machine learning, such behaviours are referred to as target classes, i.e. the main behaviours to be detected. In this paper we proposed an approach for disambiguation of features in relation to their membership to the target class vs. non-target class(es). We validate our approach with a case study on suicide detection and our results show that the proposed disambiguation approach leads to a better detection rate of suicide.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 8 |
| ISBN (Electronic) | 978-1-7281-6932-3 |
| ISBN (Print) | 978-1-7281-6933-0 |
| DOIs | |
| Publication status | Published - 26 Aug 2020 |
| Event | 2020 IEEE International Conference on Fuzzy Systems - Glasgow, United Kingdom Duration: 19 Jul 2020 → 24 Jul 2020 |
Publication series
| Name | Proceedings of the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 1544-5615 |
| ISSN (Electronic) | 558-4739 |
Conference
| Conference | 2020 IEEE International Conference on Fuzzy Systems |
|---|---|
| Abbreviated title | FUZZ 2020 |
| Country/Territory | United Kingdom |
| City | Glasgow |
| Period | 19/07/20 → 24/07/20 |
Keywords
- Term disambiguation
- Text classification
- Suicide-related communications
- Social media text
Access to Document
- FUZZ_IEEE07042020
© 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.