Cross-domain depression detection via harvesting social media
- Submitting institution
-
University of Southampton
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 54546346
- Type
- E - Conference contribution
- DOI
-
10.24963/ijcai.2018/223
- Title of conference / published proceedings
- Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018
- First page
- 1611
- Volume
- -
- Issue
- -
- ISSN
- 1045-0823
- Open access status
- Exception within 3 months of publication
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
9
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work grew out of the Next ++ project that is funded by the Singapore government and is joint between the National University of Singapore, Tsinghua University in China, and Southampton. Professors Jie Tang and Jia Jia are two of Tshinghua’s finest computer scientists, and Professor Tat Seng Chua is one of the top computer scientists in Singapore. The work is both interdisciplinary and international. The project has another three years to run and we are applying for additional funding to support spin off projects particularly in AI and ethics.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -