Agenda-Setting for COVID-19 A Study of Large-Scale Economic News Coverage Using Natural Language Processing

CC BY

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Hiển thị chi tiết
Tác giả chính: Guang, Lu, Martin, Businger, Christian, Dollfus
Định dạng: Sách
Ngôn ngữ:English
Nhà xuất bản: Springer 2023
Chủ đề:
Truy cập trực tuyến:https://link.springer.com/article/10.1007/s41060-022-00364-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7724
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spelling oai:localhost:PNK-77242023-04-10T06:46:45Z Agenda-Setting for COVID-19 A Study of Large-Scale Economic News Coverage Using Natural Language Processing Guang, Lu Martin, Businger Christian, Dollfus challenges of the COVID-19 pandemic using natural language processing (NLP) technique CC BY Over the past two years, organizations and businesses have been forced to constantly adapt and develop effective responses to the challenges of the COVID-19 pandemic. The acuteness, global scale and intense dynamism of the situation make online news and information even more important for making informed management and policy decisions. This paper focuses on the economic impact of the COVID-19 pandemic, using natural language processing (NLP) techniques to examine the news media as the main source of information and agenda-setters of public discourse over an eight-month period. 2023-04-10T06:46:44Z 2023-04-10T06:46:44Z 2023 Book https://link.springer.com/article/10.1007/s41060-022-00364-7 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7724 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic challenges of the COVID-19 pandemic
using natural language processing (NLP) technique
spellingShingle challenges of the COVID-19 pandemic
using natural language processing (NLP) technique
Guang, Lu
Martin, Businger
Christian, Dollfus
Agenda-Setting for COVID-19 A Study of Large-Scale Economic News Coverage Using Natural Language Processing
description CC BY
format Book
author Guang, Lu
Martin, Businger
Christian, Dollfus
author_facet Guang, Lu
Martin, Businger
Christian, Dollfus
author_sort Guang, Lu
title Agenda-Setting for COVID-19 A Study of Large-Scale Economic News Coverage Using Natural Language Processing
title_short Agenda-Setting for COVID-19 A Study of Large-Scale Economic News Coverage Using Natural Language Processing
title_full Agenda-Setting for COVID-19 A Study of Large-Scale Economic News Coverage Using Natural Language Processing
title_fullStr Agenda-Setting for COVID-19 A Study of Large-Scale Economic News Coverage Using Natural Language Processing
title_full_unstemmed Agenda-Setting for COVID-19 A Study of Large-Scale Economic News Coverage Using Natural Language Processing
title_sort agenda-setting for covid-19 a study of large-scale economic news coverage using natural language processing
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s41060-022-00364-7
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7724
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