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RLetters: A Web-Based Application for Text Analysis of Journal Articles
While textual analysis of the journal literature is a burgeoning field, there is still a profound lack of user-friendly software for accomplishing this task. RLetters is a free, open-source web application which provides researchers with an environment in which they can select sets of journal articl...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701179/ https://www.ncbi.nlm.nih.gov/pubmed/26731738 http://dx.doi.org/10.1371/journal.pone.0146004 |
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author | Pence, Charles H. |
author_facet | Pence, Charles H. |
author_sort | Pence, Charles H. |
collection | PubMed |
description | While textual analysis of the journal literature is a burgeoning field, there is still a profound lack of user-friendly software for accomplishing this task. RLetters is a free, open-source web application which provides researchers with an environment in which they can select sets of journal articles and analyze them with cutting-edge textual analysis tools. RLetters allows users without prior expertise in textual analysis to analyze word frequency, collocations, cooccurrences, term networks, and more. It is implemented in Ruby and scripts are provided to automate deployment. |
format | Online Article Text |
id | pubmed-4701179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47011792016-01-15 RLetters: A Web-Based Application for Text Analysis of Journal Articles Pence, Charles H. PLoS One Research Article While textual analysis of the journal literature is a burgeoning field, there is still a profound lack of user-friendly software for accomplishing this task. RLetters is a free, open-source web application which provides researchers with an environment in which they can select sets of journal articles and analyze them with cutting-edge textual analysis tools. RLetters allows users without prior expertise in textual analysis to analyze word frequency, collocations, cooccurrences, term networks, and more. It is implemented in Ruby and scripts are provided to automate deployment. Public Library of Science 2016-01-05 /pmc/articles/PMC4701179/ /pubmed/26731738 http://dx.doi.org/10.1371/journal.pone.0146004 Text en © 2016 Charles H. Pence http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited |
spellingShingle | Research Article Pence, Charles H. RLetters: A Web-Based Application for Text Analysis of Journal Articles |
title | RLetters: A Web-Based Application for Text Analysis of Journal Articles |
title_full | RLetters: A Web-Based Application for Text Analysis of Journal Articles |
title_fullStr | RLetters: A Web-Based Application for Text Analysis of Journal Articles |
title_full_unstemmed | RLetters: A Web-Based Application for Text Analysis of Journal Articles |
title_short | RLetters: A Web-Based Application for Text Analysis of Journal Articles |
title_sort | rletters: a web-based application for text analysis of journal articles |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4701179/ https://www.ncbi.nlm.nih.gov/pubmed/26731738 http://dx.doi.org/10.1371/journal.pone.0146004 |
work_keys_str_mv | AT pencecharlesh rlettersawebbasedapplicationfortextanalysisofjournalarticles |