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Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability
Data-driven research in biomedical science requires structured, computable data. Increasingly, these data are created with support from automated text mining. Text-mining tools have rapidly matured: although not perfect, they now frequently provide outstanding results. We describe 10 straightforward...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289435/ https://www.ncbi.nlm.nih.gov/pubmed/32479517 http://dx.doi.org/10.1371/journal.pbio.3000716 |
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author | Leaman, Robert Wei, Chih-Hsuan Allot, Alexis Lu, Zhiyong |
author_facet | Leaman, Robert Wei, Chih-Hsuan Allot, Alexis Lu, Zhiyong |
author_sort | Leaman, Robert |
collection | PubMed |
description | Data-driven research in biomedical science requires structured, computable data. Increasingly, these data are created with support from automated text mining. Text-mining tools have rapidly matured: although not perfect, they now frequently provide outstanding results. We describe 10 straightforward writing tips—and a web tool, PubReCheck—guiding authors to help address the most common cases that remain difficult for text-mining tools. We anticipate these guides will help authors’ work be found more readily and used more widely, ultimately increasing the impact of their work and the overall benefit to both authors and readers. PubReCheck is available at http://www.ncbi.nlm.nih.gov/research/pubrecheck. |
format | Online Article Text |
id | pubmed-7289435 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-72894352020-06-18 Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability Leaman, Robert Wei, Chih-Hsuan Allot, Alexis Lu, Zhiyong PLoS Biol Community Page Data-driven research in biomedical science requires structured, computable data. Increasingly, these data are created with support from automated text mining. Text-mining tools have rapidly matured: although not perfect, they now frequently provide outstanding results. We describe 10 straightforward writing tips—and a web tool, PubReCheck—guiding authors to help address the most common cases that remain difficult for text-mining tools. We anticipate these guides will help authors’ work be found more readily and used more widely, ultimately increasing the impact of their work and the overall benefit to both authors and readers. PubReCheck is available at http://www.ncbi.nlm.nih.gov/research/pubrecheck. Public Library of Science 2020-06-01 /pmc/articles/PMC7289435/ /pubmed/32479517 http://dx.doi.org/10.1371/journal.pbio.3000716 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Community Page Leaman, Robert Wei, Chih-Hsuan Allot, Alexis Lu, Zhiyong Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability |
title | Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability |
title_full | Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability |
title_fullStr | Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability |
title_full_unstemmed | Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability |
title_short | Ten tips for a text-mining-ready article: How to improve automated discoverability and interpretability |
title_sort | ten tips for a text-mining-ready article: how to improve automated discoverability and interpretability |
topic | Community Page |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289435/ https://www.ncbi.nlm.nih.gov/pubmed/32479517 http://dx.doi.org/10.1371/journal.pbio.3000716 |
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