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A data science approach to 138 years of congressional speeches
The availability of automatic data analysis tools and large databases have enabled new ways of studying language and communication that were not possible in the pre-information era. Here we apply a quantitative analysis to a large dataset of USA congressional speeches made over a period of 138 years...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452432/ https://www.ncbi.nlm.nih.gov/pubmed/32904137 http://dx.doi.org/10.1016/j.heliyon.2020.e04417 |
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author | Tucker, Ethan C. Capps, Colton J. Shamir, Lior |
author_facet | Tucker, Ethan C. Capps, Colton J. Shamir, Lior |
author_sort | Tucker, Ethan C. |
collection | PubMed |
description | The availability of automatic data analysis tools and large databases have enabled new ways of studying language and communication that were not possible in the pre-information era. Here we apply a quantitative analysis to a large dataset of USA congressional speeches made over a period of 138 years. The analysis reveals that the readability index of congressional speeches increased consistently until the 96th congress, and then started to decline. Congressional speeches have also become more positive over time, and in general express more sentiments compared to speeches made in the 19th century or early 20th century. The analysis also shows statistically significant differences between Democratic and Republican congressional speeches. |
format | Online Article Text |
id | pubmed-7452432 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-74524322020-09-03 A data science approach to 138 years of congressional speeches Tucker, Ethan C. Capps, Colton J. Shamir, Lior Heliyon Article The availability of automatic data analysis tools and large databases have enabled new ways of studying language and communication that were not possible in the pre-information era. Here we apply a quantitative analysis to a large dataset of USA congressional speeches made over a period of 138 years. The analysis reveals that the readability index of congressional speeches increased consistently until the 96th congress, and then started to decline. Congressional speeches have also become more positive over time, and in general express more sentiments compared to speeches made in the 19th century or early 20th century. The analysis also shows statistically significant differences between Democratic and Republican congressional speeches. Elsevier 2020-08-15 /pmc/articles/PMC7452432/ /pubmed/32904137 http://dx.doi.org/10.1016/j.heliyon.2020.e04417 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Tucker, Ethan C. Capps, Colton J. Shamir, Lior A data science approach to 138 years of congressional speeches |
title | A data science approach to 138 years of congressional speeches |
title_full | A data science approach to 138 years of congressional speeches |
title_fullStr | A data science approach to 138 years of congressional speeches |
title_full_unstemmed | A data science approach to 138 years of congressional speeches |
title_short | A data science approach to 138 years of congressional speeches |
title_sort | data science approach to 138 years of congressional speeches |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452432/ https://www.ncbi.nlm.nih.gov/pubmed/32904137 http://dx.doi.org/10.1016/j.heliyon.2020.e04417 |
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