Analysis of Covid-19 News Using Text Mining Techniques

Emine Çağatay; Bahar Y. Sünnetci; Selin Orbay; Tolga Kaya

doi:10.1007/978-3-031-09176-6_50

Analysis of Covid-19 News Using Text Mining Techniques

Emine Çağatay^*, Bahar Y. Sünnetci, Selin Orbay, Tolga Kaya

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Özet

COVID-19, which has taken the whole world under its influence, has been a remarkable period to investigate the emotions and behaviors of people in extraordinary situations. The findings addressed during this defining moment to the fluctuation of the number of cases and certain turning points. It is a matter of debate how much these important moments are affected by the attitudes of the authorities directing the public. The aim of this study is to determine in which periods and what expressions the news in the newspapers is used by using text mining techniques such as word clouds, clustering and sentiment analysis. In order to do this, COVID-19 news published in the last two years from three respected newspapers were used. Results reveal that, there are significant changes in the main themes of the COVID-19 related news with the release of the vaccine. Moreover, when all periods are inspected, it has been observed that different topics like herd immunity, vaccination, variants and human rights have come to the forefront in various print media sources.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	438-445
Sayfa sayısı	8
ISBN (Basılı)	9783031091759
DOI'lar	https://doi.org/10.1007/978-3-031-09176-6_50
Yayın durumu	Yayınlandı - 2022
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey Süre: 19 Tem 2022 → 21 Tem 2022

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	505 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Ülke/Bölge	Turkey
Şehir	Izmir
Periyot	19/07/22 → 21/07/22

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Belgeye Erişim

10.1007/978-3-031-09176-6_50

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Çağatay, E., Sünnetci, B. Y., Orbay, S., & Kaya, T. (2022). Analysis of Covid-19 News Using Text Mining Techniques. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, A. C. Tolga, & S. Cebi (Eds.), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2 (pp. 438-445). (Lecture Notes in Networks and Systems; Hac. 505 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09176-6_50

Çağatay, Emine ; Sünnetci, Bahar Y. ; Orbay, Selin et al. / Analysis of Covid-19 News Using Text Mining Techniques. Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagri Tolga ; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 438-445 (Lecture Notes in Networks and Systems).

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title = "Analysis of Covid-19 News Using Text Mining Techniques",

abstract = "COVID-19, which has taken the whole world under its influence, has been a remarkable period to investigate the emotions and behaviors of people in extraordinary situations. The findings addressed during this defining moment to the fluctuation of the number of cases and certain turning points. It is a matter of debate how much these important moments are affected by the attitudes of the authorities directing the public. The aim of this study is to determine in which periods and what expressions the news in the newspapers is used by using text mining techniques such as word clouds, clustering and sentiment analysis. In order to do this, COVID-19 news published in the last two years from three respected newspapers were used. Results reveal that, there are significant changes in the main themes of the COVID-19 related news with the release of the vaccine. Moreover, when all periods are inspected, it has been observed that different topics like herd immunity, vaccination, variants and human rights have come to the forefront in various print media sources.",

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author = "Emine {\c C}ağatay and S{\"u}nnetci, {Bahar Y.} and Selin Orbay and Tolga Kaya",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2022 ; Conference date: 19-07-2022 Through 21-07-2022",

year = "2022",

doi = "10.1007/978-3-031-09176-6_50",

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Çağatay, E, Sünnetci, BY, Orbay, S & Kaya, T 2022, Analysis of Covid-19 News Using Text Mining Techniques. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, AC Tolga & S Cebi (eds), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. Lecture Notes in Networks and Systems, hac. 505 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 438-445, International Conference on Intelligent and Fuzzy Systems, INFUS 2022, Izmir, Turkey, 19/07/22. https://doi.org/10.1007/978-3-031-09176-6_50

Analysis of Covid-19 News Using Text Mining Techniques. / Çağatay, Emine; Sünnetci, Bahar Y.; Orbay, Selin et al.
Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; A. Cagri Tolga; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. p. 438-445 (Lecture Notes in Networks and Systems; Hac. 505 LNNS).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

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T1 - Analysis of Covid-19 News Using Text Mining Techniques

AU - Çağatay, Emine

AU - Sünnetci, Bahar Y.

AU - Orbay, Selin

AU - Kaya, Tolga

PY - 2022

Y1 - 2022

N2 - COVID-19, which has taken the whole world under its influence, has been a remarkable period to investigate the emotions and behaviors of people in extraordinary situations. The findings addressed during this defining moment to the fluctuation of the number of cases and certain turning points. It is a matter of debate how much these important moments are affected by the attitudes of the authorities directing the public. The aim of this study is to determine in which periods and what expressions the news in the newspapers is used by using text mining techniques such as word clouds, clustering and sentiment analysis. In order to do this, COVID-19 news published in the last two years from three respected newspapers were used. Results reveal that, there are significant changes in the main themes of the COVID-19 related news with the release of the vaccine. Moreover, when all periods are inspected, it has been observed that different topics like herd immunity, vaccination, variants and human rights have come to the forefront in various print media sources.

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SN - 9783031091759

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BT - Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2

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Çağatay E, Sünnetci BY, Orbay S, Kaya T. Analysis of Covid-19 News Using Text Mining Techniques. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Tolga AC, Cebi S, editörler, Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference, Volume 2. Springer Science and Business Media Deutschland GmbH. 2022. p. 438-445. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-09176-6_50

Analysis of Covid-19 News Using Text Mining Techniques

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