Araştırma Makalesi
BibTex RIS Kaynak Göster
Yıl 2022, Cilt: 2 Sayı: 2, 36 - 41, 27.02.2023

Öz

Kaynakça

  • A.C Yalciner, et al. "The 30 October 2020 (11: 51 UTC) Izmir-Samos earthquake and tsunami: post-tsunami field survey preliminary results", in Middle East Technical University, Ankara, Turkey, 2020.
  • A. Bovet, F. Morone and H. A. Makse, "Validation of Twitter opinion trends with national polling aggregates: Hillary Clinton vs Donald Trump", Scientific reports, 2018, 8(1): 1-16.
  • S. Gurajala, S Dhaniyala., and J. N. Matthews, "Understanding public response to air quality using tweet analysis", Social Media+ Society, 2019, 5(3).
  • N. Kankanamge, T. Yigitcanlar, A. Goonetilleke and M. Kamruzzaman, "Determining disaster severity through social media analysis: Testing the methodology with South East Queensland Flood tweets", International journal of disaster risk reduction 2020, 42: 101360.
  • N. Pourebrahim, S. Sultana, J. Edwards, A. Gochanour, and S. Mohanty, "Understanding communication dynamics on Twitter during natural disasters: A case study of Hurricane Sandy", International journal of disaster risk reduction, 2019, 37: 101176.
  • A. Ceron, L. Curini, S.M. Iacus and G. Porro, "Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens", political preferences with an application to Italy and France. New media and society, 2014, 16(2): 340-358.
  • V. Kharde and P. Sonawane, "Sentiment analysis of twitter data: a survey of techniques", arXiv preprint arXiv:1601.06971, 2016.
  • A. Shelar, C.Y. Huang, "Sentiment analysis of twitter data", In: 2018 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2018. p. 1301-1302.
  • M. Albayrak, K.topal and V. Altıntaş, "Sosyal medya üzerinde veri analizi: Twitter", Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2017, 22(Kayfor 15 Özel Sayısı): 1991-1998.
  • A. Karami, V. Shah, R. Vaezi and A. Bansal, "Twitter speaks: A case of national disaster situational awareness", Journal of Information Science, 2020, 46(3): 313-324.
  • K. Zahra, M. Imran, and F. O. Ostermann, "Automatic identification of eyewitness messages on twitter during disasters", Information processing management, 2020, 57(1): 102107.
  • F. Dalkılıç¸ , A. Çam, "Automatic Movie Rating by Using Twitter Sentiment Analysis and Monitoring Tool", Journal of Emerging Computer Technologies, 2021, 1(2): 55-60.
  • Ö. Ağralı, Ö. Aydın, "Tweet Classification and Sentiment Analysis on Metaverse Related Messages", Journal of Metaverse, 2021, 1(1): 25-30.
  • S. Yıldırım, savasy/bert-base-turkish-sentiment-cased · Hugging Face, 2020. [Online]. Available: https://huggingface.co/savasy/bert-baseturkish-sentiment-cased. [Accessed: 02- Nov- 2020].
  • B. Ayhan, winvoker/turkish-sentiment-analysisdataset Hugging Face, 2022. [Online]. Available: https://huggingface.co/datasets/winvoker/turkish-sentiment-analysisdataset. [Accessed: Nov- 2022].
  • "İşte birçok kişiye mezar olan Rıza Bey apartmanı", 2020. [Online]. Available: https://www.turkiyegazetesi.com.tr/gundem/742966.aspx. [Accessed: Oct. 30, 2020].
  • T. Albay, "İzmir’de deprem sonrası yıkılan Rıza Bey Apartmanı enkazındaki kurtarma çalışmasına ara verildi", 2020. [Online]. Available: https://www.aa.com.tr/tr/turkiye/izmirde-deprem-sonrasi-yikilan-rizabey-apartmani-enkazindaki-kurtarma-calismasina-ara-verildi-/2027207. [Accessed: 01- Nov- 2020].
  • T. Albay, "İzmir’deki depremden yaklaşık 58 saat sonra 14 yaşındaki İdil enkazdan yaralı çıkarıldı", 2020. [Online]. Available: https://www.aa.com.tr/tr/turkiye/izmirdeki-depremden-yaklasik-58-saatsonra-14-yasindaki-idil-enkazdan-yarali-cikarildi/2027463. [Accessed: 02- Nov- 2020].
  • "Son dakika: 3 yaşındaki Ayda bebek 91’inci saatte enkazdan çıkarıldı", 2020. [Online]. Available: https://www.haberturk.com/son-dakikahaberi-tunc-soyer-acikladi-ekipleri-bir-bebege-canli-ulasti-2857124. [Accessed: 03-Nov-2020].
  • "İzmir depremi: Arama kurtarma çalışmaları sona erdi, can kaybı 114’e yükseldi", 2020. [Online]. Available: https://www.bbc.com/turkce/haberler-turkiye-54810440. [Accessed:04- Nov- 2020].
  • L. İlhan "İzmir’de deprem", 2020. [Online]. Available: https://www.aa.com.tr/tr/pg/foto-galeri/izmir-de-deprem/0. [Accessed: 30- Oct- 2020].

Twitter Data Analysis: Izmir Earthquake Case

Yıl 2022, Cilt: 2 Sayı: 2, 36 - 41, 27.02.2023

Öz

Türkiye is located on a fault line; earthquakes often occur on a large and small scale. There is a need for effective solutions for gathering current information during disasters. We can use social media to get insight into public opinion. This insight can be used in public relations and disaster management.
In this study, Twitter posts on İzmir Earthquake that took place on October 2020 are analyzed. We question if this analysis can be used to make social inferences on time. Data mining and natural language processing (NLP) methods are used for this analysis. NLP is used for sentiment analysis and topic modelling. The latent Dirichlet Allocation (LDA) algorithm is used for topic modelling. We used the Bidirectional Encoder Representations from Transformers (BERT) model working with Transformers architecture for sentiment analysis. It is shown that the users shared their goodwill wishes and aimed to contribute to the initiated aid activities after the earthquake. The users desired to make their voices heard by competent institutions and organizations. The proposed methods work effectively. Future studies are also discussed.

Kaynakça

  • A.C Yalciner, et al. "The 30 October 2020 (11: 51 UTC) Izmir-Samos earthquake and tsunami: post-tsunami field survey preliminary results", in Middle East Technical University, Ankara, Turkey, 2020.
  • A. Bovet, F. Morone and H. A. Makse, "Validation of Twitter opinion trends with national polling aggregates: Hillary Clinton vs Donald Trump", Scientific reports, 2018, 8(1): 1-16.
  • S. Gurajala, S Dhaniyala., and J. N. Matthews, "Understanding public response to air quality using tweet analysis", Social Media+ Society, 2019, 5(3).
  • N. Kankanamge, T. Yigitcanlar, A. Goonetilleke and M. Kamruzzaman, "Determining disaster severity through social media analysis: Testing the methodology with South East Queensland Flood tweets", International journal of disaster risk reduction 2020, 42: 101360.
  • N. Pourebrahim, S. Sultana, J. Edwards, A. Gochanour, and S. Mohanty, "Understanding communication dynamics on Twitter during natural disasters: A case study of Hurricane Sandy", International journal of disaster risk reduction, 2019, 37: 101176.
  • A. Ceron, L. Curini, S.M. Iacus and G. Porro, "Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens", political preferences with an application to Italy and France. New media and society, 2014, 16(2): 340-358.
  • V. Kharde and P. Sonawane, "Sentiment analysis of twitter data: a survey of techniques", arXiv preprint arXiv:1601.06971, 2016.
  • A. Shelar, C.Y. Huang, "Sentiment analysis of twitter data", In: 2018 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2018. p. 1301-1302.
  • M. Albayrak, K.topal and V. Altıntaş, "Sosyal medya üzerinde veri analizi: Twitter", Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 2017, 22(Kayfor 15 Özel Sayısı): 1991-1998.
  • A. Karami, V. Shah, R. Vaezi and A. Bansal, "Twitter speaks: A case of national disaster situational awareness", Journal of Information Science, 2020, 46(3): 313-324.
  • K. Zahra, M. Imran, and F. O. Ostermann, "Automatic identification of eyewitness messages on twitter during disasters", Information processing management, 2020, 57(1): 102107.
  • F. Dalkılıç¸ , A. Çam, "Automatic Movie Rating by Using Twitter Sentiment Analysis and Monitoring Tool", Journal of Emerging Computer Technologies, 2021, 1(2): 55-60.
  • Ö. Ağralı, Ö. Aydın, "Tweet Classification and Sentiment Analysis on Metaverse Related Messages", Journal of Metaverse, 2021, 1(1): 25-30.
  • S. Yıldırım, savasy/bert-base-turkish-sentiment-cased · Hugging Face, 2020. [Online]. Available: https://huggingface.co/savasy/bert-baseturkish-sentiment-cased. [Accessed: 02- Nov- 2020].
  • B. Ayhan, winvoker/turkish-sentiment-analysisdataset Hugging Face, 2022. [Online]. Available: https://huggingface.co/datasets/winvoker/turkish-sentiment-analysisdataset. [Accessed: Nov- 2022].
  • "İşte birçok kişiye mezar olan Rıza Bey apartmanı", 2020. [Online]. Available: https://www.turkiyegazetesi.com.tr/gundem/742966.aspx. [Accessed: Oct. 30, 2020].
  • T. Albay, "İzmir’de deprem sonrası yıkılan Rıza Bey Apartmanı enkazındaki kurtarma çalışmasına ara verildi", 2020. [Online]. Available: https://www.aa.com.tr/tr/turkiye/izmirde-deprem-sonrasi-yikilan-rizabey-apartmani-enkazindaki-kurtarma-calismasina-ara-verildi-/2027207. [Accessed: 01- Nov- 2020].
  • T. Albay, "İzmir’deki depremden yaklaşık 58 saat sonra 14 yaşındaki İdil enkazdan yaralı çıkarıldı", 2020. [Online]. Available: https://www.aa.com.tr/tr/turkiye/izmirdeki-depremden-yaklasik-58-saatsonra-14-yasindaki-idil-enkazdan-yarali-cikarildi/2027463. [Accessed: 02- Nov- 2020].
  • "Son dakika: 3 yaşındaki Ayda bebek 91’inci saatte enkazdan çıkarıldı", 2020. [Online]. Available: https://www.haberturk.com/son-dakikahaberi-tunc-soyer-acikladi-ekipleri-bir-bebege-canli-ulasti-2857124. [Accessed: 03-Nov-2020].
  • "İzmir depremi: Arama kurtarma çalışmaları sona erdi, can kaybı 114’e yükseldi", 2020. [Online]. Available: https://www.bbc.com/turkce/haberler-turkiye-54810440. [Accessed:04- Nov- 2020].
  • L. İlhan "İzmir’de deprem", 2020. [Online]. Available: https://www.aa.com.tr/tr/pg/foto-galeri/izmir-de-deprem/0. [Accessed: 30- Oct- 2020].
Toplam 21 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yapay Zeka
Bölüm Araştırma Makaleleri
Yazarlar

Özgür Ağrali 0000-0001-6974-011X

Hakan Sökün 0000-0002-0371-8830

Enis Karaarslan 0000-0002-3595-8783

Yayımlanma Tarihi 27 Şubat 2023
Yayımlandığı Sayı Yıl 2022 Cilt: 2 Sayı: 2

Kaynak Göster

APA Ağrali, Ö., Sökün, H., & Karaarslan, E. (2023). Twitter Data Analysis: Izmir Earthquake Case. Journal of Emerging Computer Technologies, 2(2), 36-41.

Journal of Emerging Computer Technologies
is indexed and abstracted by
Index Copernicus, ROAD, Academia.edu, Google Scholar, Asos Index, Academic Resource Index (Researchbib), OpenAIRE, IAD, Cosmos, EuroPub, Academindex

Publisher
Izmir Academy Association
www.izmirakademi.org