Knowledge-driven graph similarity for text classification
- Submitting institution
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University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 88640540
- Type
- D - Journal article
- DOI
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10.1007/s13042-020-01221-4
- Title of journal
- International Journal of Machine Learning and Cybernetics
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 1868-8071
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2020
- 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
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3
- Research group(s)
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B - Artificial Intelligence Research Centre
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <17> This paper was the final journal paper arising from the PhD research of the lead author. It builds on the concept of "supervised term weighting" introduced by the authors in an earlier conference paper; others have also built on this concept, e.g., Skianis et al. in doi: 10.18653/v1/w18-1707 in 2018.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -