Cargando…
Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features
This paper describes a system developed for Track 2 of the 2011 Medical NLP Challenge on identifying emotions in suicide notes. Our approach involves learning a collection of one-versus-all classifiers, each deciding whether or not a particular label should be assigned to a given sentence. We explor...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3409483/ https://www.ncbi.nlm.nih.gov/pubmed/22879765 http://dx.doi.org/10.4137/BII.S8930 |
_version_ | 1782239592893644800 |
---|---|
author | Read, Jonathon Velldal, Erik Øvrelid, Lilja |
author_facet | Read, Jonathon Velldal, Erik Øvrelid, Lilja |
author_sort | Read, Jonathon |
collection | PubMed |
description | This paper describes a system developed for Track 2 of the 2011 Medical NLP Challenge on identifying emotions in suicide notes. Our approach involves learning a collection of one-versus-all classifiers, each deciding whether or not a particular label should be assigned to a given sentence. We explore a variety of features types—syntactic, semantic and surface-oriented. Cost-sensitive learning is used for dealing with the issue of class imbalance in the data. |
format | Online Article Text |
id | pubmed-3409483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-34094832012-08-09 Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features Read, Jonathon Velldal, Erik Øvrelid, Lilja Biomed Inform Insights Original Research This paper describes a system developed for Track 2 of the 2011 Medical NLP Challenge on identifying emotions in suicide notes. Our approach involves learning a collection of one-versus-all classifiers, each deciding whether or not a particular label should be assigned to a given sentence. We explore a variety of features types—syntactic, semantic and surface-oriented. Cost-sensitive learning is used for dealing with the issue of class imbalance in the data. Libertas Academica 2012-01-30 /pmc/articles/PMC3409483/ /pubmed/22879765 http://dx.doi.org/10.4137/BII.S8930 Text en © the author(s), publisher and licensee Libertas Academica Ltd. This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited. |
spellingShingle | Original Research Read, Jonathon Velldal, Erik Øvrelid, Lilja Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features |
title | Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features |
title_full | Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features |
title_fullStr | Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features |
title_full_unstemmed | Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features |
title_short | Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features |
title_sort | labeling emotions in suicide notes: cost-sensitive learning with heterogeneous features |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3409483/ https://www.ncbi.nlm.nih.gov/pubmed/22879765 http://dx.doi.org/10.4137/BII.S8930 |
work_keys_str_mv | AT readjonathon labelingemotionsinsuicidenotescostsensitivelearningwithheterogeneousfeatures AT velldalerik labelingemotionsinsuicidenotescostsensitivelearningwithheterogeneousfeatures AT øvrelidlilja labelingemotionsinsuicidenotescostsensitivelearningwithheterogeneousfeatures |