Öz
In recent days, the metaverse which is defined as virtual-reality space in which people can interact with each other in a computer-generated environment, has attracted people’s attention. People have posted their opinions about the metaverse on social media platforms. Twitter is one of those platforms in which people have tweeted about the metaverse. Tweets help researchers to understand public attitudes on a subject. This research focuses on two analyses: The first one used sentiment analysis on Turkish tweets about various alternative words of the metaverse, such as karma evren, misal evren, ote evren, sahte dunya, sanal evren and internet otesi. The second focus of our research was on an analysis of a questionnaire that aimed to understand whether people are aware of the metaverse and willing to experience it or not. The result of sentiment analysis showed that the most of the collected tweets were positive about the collected tweets. The questionnaire analysis showed that the majority of participants were aware of the metaverse and would like to experience that virtual space
Anahtar Kelimeler
metaverse sentiment analysis social networks virtual reality twitter
Kaynakça
- Akkuzu Kaya, G. Sentiment Analysis of Users’ Reactions to Deadly Disasters Posts in Turkey: Facebook Data . International Journal of Multidisciplinary Studies and Innovative Technologies , 5 (2) , 167-172 . (2021)
- Duan, H., Li, J., Fan, S., Lin, Z., Wu, X., & Cai, W. Metaverse for social good: A university campus prototype. In Proceedings of the 29th ACM International Conference on Multimedia (pp. 153-161). (2021).
Öz
Kaynakça
- Akkuzu Kaya, G. Sentiment Analysis of Users’ Reactions to Deadly Disasters Posts in Turkey: Facebook Data . International Journal of Multidisciplinary Studies and Innovative Technologies , 5 (2) , 167-172 . (2021)
- Duan, H., Li, J., Fan, S., Lin, Z., Wu, X., & Cai, W. Metaverse for social good: A university campus prototype. In Proceedings of the 29th ACM International Conference on Multimedia (pp. 153-161). (2021).
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Yazılım Mühendisliği, Bilgisayar Yazılımı |
| Bölüm | Makaleler |
| Yazarlar | |
| Yayımlanma Tarihi | 31 Ağustos 2022 |
| Gönderilme Tarihi | 15 Mart 2022 |
| Kabul Tarihi | 7 Haziran 2022 |
| Yayımlandığı Sayı | Yıl 2022Cilt: 5 Sayı: 2 |
Cited By
An Effective 3D Text Recurrent Voting Generator for Metaverse
IEEE Transactions on Affective Computing
https://doi.org/10.1109/TAFFC.2022.3216782
Sakarya University Journal of Computer and Information Sciences in Applied Sciences and Engineering: An interdisciplinary journal of information science