Analysis of the Covid-19 Process in Terms of Health Managers
Yükleniyor...
Dosyalar
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, sentiment analysis was conducted on the data of the Covid-19 epidemic process from the official twitter account of the Republic of Turkey Fahrettin Koca, Minister of Health, @drfahrettinkoca (SO) and the Twitter account of the @WHO (World Health Organization). First of all, twitter data was obtained and necessary arrangements were made for analysis. Then, tweets were shown with a word cloud and it was determined which words were used more frequently. Afterwards, sentiment analysis was performed on the data using the TextBlob library. In addition, it has been found out which subjects are focused on tweets sent from SO and @WHO (World Health Organization) accounts with the LDA algorithm. It has been seen that positive tweets were sent from both accounts, giving positive messages to the society. © 2022 IEEE.
Açıklama
IEEE Turkey Section;Istanbul Atlas University
2nd International Conference on Computing and Machine Intelligence, ICMI 2022 -- 15 July 2022 through 16 July 2022 -- 182557
2nd International Conference on Computing and Machine Intelligence, ICMI 2022 -- 15 July 2022 through 16 July 2022 -- 182557
Anahtar Kelimeler
Covid-19, Sentiment analysis, Topic Modeling, Twitter data analysis, WordCloud, Health, Social networking (online), Covid-19, Epidemic process, Sentiment analysis, Topic Modeling, Twitter data analyse, Word clouds, Wordcloud, World Health Organization, Sentiment analysis
Kaynak
2022 2nd International Conference on Computing and Machine Intelligence, ICMI 2022 - Proceedings
