COVID-19 and Media datasets: Period- and location-specific textual data mining

COVID-19 and Media datasets: Period- and location-specific textual data mining

The vocabulary used in news on a disease such as COVID-19 changes according the period [4]. This aspect is discussed on the basis of MEDISYS-sourced media datasets via two studies. The first focuses on terminology extraction and the second on period prediction according to the textual content using...

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Bibliographic Details
Main Author: Mathieu Roche
Format: Article
Language:English
Published: Elsevier 2020-12-01
Series:Data in Brief
Subjects:
Corpus
Text-mining
NLP
Terminology extraction
Classification
COVID-19
Online Access:http://www.sciencedirect.com/science/article/pii/S235234092031249X
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spelling doaj-8d00c354a70d4b18be1d2a76ccdcb2092020-12-21T04:43:59ZengElsevierData in Brief2352-34092020-12-0133106356COVID-19 and Media datasets: Period- and location-specific textual data miningMathieu Roche0CIRAD, UMR TETIS, F-34398 Montpellier, France; TETIS, Univ Montpellier, AgroParisTech, CIRAD, CNRS, INRAE, Montpellier, FranceThe vocabulary used in news on a disease such as COVID-19 changes according the period [4]. This aspect is discussed on the basis of MEDISYS-sourced media datasets via two studies. The first focuses on terminology extraction and the second on period prediction according to the textual content using machine learning approaches.http://www.sciencedirect.com/science/article/pii/S235234092031249XCorpusText-miningNLPTerminology extractionClassificationCOVID-19
collection DOAJ
language English
format Article
sources DOAJ
author Mathieu Roche
spellingShingle Mathieu Roche
COVID-19 and Media datasets: Period- and location-specific textual data mining
Data in Brief
Corpus
Text-mining
NLP
Terminology extraction
Classification
COVID-19
author_facet Mathieu Roche
author_sort Mathieu Roche
title COVID-19 and Media datasets: Period- and location-specific textual data mining
title_short COVID-19 and Media datasets: Period- and location-specific textual data mining
title_full COVID-19 and Media datasets: Period- and location-specific textual data mining
title_fullStr COVID-19 and Media datasets: Period- and location-specific textual data mining
title_full_unstemmed COVID-19 and Media datasets: Period- and location-specific textual data mining
title_sort covid-19 and media datasets: period- and location-specific textual data mining
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2020-12-01
description The vocabulary used in news on a disease such as COVID-19 changes according the period [4]. This aspect is discussed on the basis of MEDISYS-sourced media datasets via two studies. The first focuses on terminology extraction and the second on period prediction according to the textual content using machine learning approaches.
topic Corpus
Text-mining
NLP
Terminology extraction
Classification
COVID-19
url http://www.sciencedirect.com/science/article/pii/S235234092031249X
work_keys_str_mv AT mathieuroche covid19andmediadatasetsperiodandlocationspecifictextualdatamining
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