Tweet Classification and Sentiment Analysis on Metaverse Related Messages

Ağralı, Özgür; Aydın, Ömer

doi:10.2139/ssrn.4171318

Cited by 10 publications

(6 citation statements)

References 10 publications

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“…Retailing has transformed from traditional to electronic and then to virtual reality in which qualitative and quantitative methods were used together to determine the basic view of technology and consumer interest in retailing. In a study conducted by Ağralı and Aydın (2021), the emotions related to Metaverse were evaluated in the light of the data obtained from social media platforms. The tweets sent one week before and after Mark Zuckerberg's announcement that his company would change its name to Meta were evaluated and tweets sent in English with the hashtag "Metaverse" on Twitter were used as the data set.…”

Section: Research Problem and Literaturementioning

confidence: 99%

Taking Virtual Reality and Augmented Reality to the Next Level: Artificial Intelligence With Mixed Reality

Efe

2023

Kamu Yönetimi Ve Teknoloji Dergisi

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Virtual reality (VR) and augmented reality (AR) have caused significant excitement, but Mixed reality (MR) offers an authentic experience beyond what they have are imagined and it takes this exciting experience to the next level. MR collides virtual data with natural objects, creating realistic physical and emotional interactions so that digital objects are positioned like natural objects in real environments and positioning takes place in real-time by aligning with real things. With the advent of Metaverse, the reality concepts are being redefined and highlighted by both businesses and academia. Apart from business value and high-tech aspects, Metaverse can include mystical, spiritual, and religious perspectives, as it is defined as a virtual and transitive structure in which we can exist by creating a duplicate of our existence in the physical world and its alternative. Through multidisciplinary analyzes and evaluations in this study, the possibility to provide not only the transition from the physical to the virtual, but also the transition from the virtual to the physical through transferring the data to the physical location, objects, or sensors is questioned.

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Section: Research Problem and Literaturementioning

confidence: 99%

Taking Virtual Reality and Augmented Reality to the Next Level: Artificial Intelligence With Mixed Reality

Efe

2023

Kamu Yönetimi Ve Teknoloji Dergisi

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“…The precise definition of the Metaverse remains contested, primarily because of the novelty of the concept and the uncertainty regarding its developmental trajectory and eventual structure (Kim, 2022). Despite this ambiguity, the term Metaverse witnessed a surge in public interest following the rebranding of Facebook to Meta, as confirmed by the company's CEO Mark Zuckerberg (Ağralı & Aydın, 2021). For the purpose of clarity in this analysis, the Metaverse is defined as a virtual reality environment.…”

Section: Metaverse -Metaverse Economy: Metanomicsmentioning

confidence: 99%

A View of the Future of the Metaverse Economy on the Basis of the Global Financial System: New Opportunities and Risks

Şanlısoy¹,

Çiloğlu²

2023

JCGIRM

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The burgeoning Metaverse represents an unprecedented technology frontier that is poised to redefine our financial, societal, and cultural paradigms. This research introduces a new economic term, Metanomics, to the academic discourse by conceptualizing an economic structure in which the virtual needs of humans and virtual entities are met in virtual universes, production, distribution and finance processes are designed for this purpose and interact with the real universe. A profound examination of the potential sectoral, macroeconomic, and financial repercussions of Metanomics has been carried out. Expected improvements in sectors like education, healthcare, and tourism include increased productivity, emergence of new job roles, cost efficiencies, and heightened profitability. On the macroeconomic front, an escalation in total factor productivity, employment opportunities, and growth rates is anticipated. The unique aspect of this system pertains to its potential influence on the financial landscape. Novel financial institutions wielding innovative financial instruments are forecasted to emerge in the Metaverse. Consequently, a new arena of financial transactions linking the virtual and real-world economies is predicted to emerge, causing an expansion of the financial transaction volume in the real world. These transactions, primarily facilitated by cryptocurrencies, will contribute to an accelerated globalization process. Therefore, this research endeavours to forecast the ways the Metaverse might reshape future financial systems, predict the repercussions of these interplays on the global economy, delineate potential risks and opportunities, and propose relevant policy recommendations.

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“…Perbedaan pendapat ini dapat dilihat melalui sosial media, salah satu diantaranya adalah sosial media Twitter. Sosial media seperti Twitter saat ini menjadi tempat dimana semua orang dapat menyuarakan pendapatnya, saat ini sendiri setidaknya terdapat 500 juta tweet setiap harinya dari seluruh dunia (Ahuja & Dubey, 2017). Di indonesia sendiri pada awal tahun 2022 menunjukkan pengguna Twitter saat ini berada di angka 18,45 Juta penggun (Nuryama, 2022).…”

Section: Pendahuluanunclassified

“…Analisa sentimen pada sosial media sudah cukup sering dilakukan pada penelitian sebelumnya. Analisa sentimen pada Twitter dapat dikatakan lebih efektif karena pada Twitter terdapat batasan karakter huruf yang dapat digunakan dalam satu tweet (Ağralı & Aydın, 2021).…”

Section: Pendahuluanunclassified

Analisis Karakteristik Akun Twitter Berdasarkan Sentimen Pendapat Terkait Undang-Undang PSE

Profesi¹,

Rivaldi

Yudhantorro

et al. 2022

SATIN

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Aturan untuk penyedia layanan di internet atau Penyelenggara Sistem Elektronik di Indonesia mendapatkan pro dan kontra semenjak adanya Peraturan Pemerintah yang diterbitkan. Twitter sebagai media sosial, menjadi salah satu tempat menyampaikan pendapat secara bebas, tidak terkecuali pendapat untuk peraturan PSE. Penelitian ini bertujuan untuk mengidentifikasi karakteristik akun pengguna Twitter dengan mempertimbangkan sentimen tweet mereka terhadap Peraturan PSE. Analisis ini dilakukan dengan mengidentifikasi sentimen pada data tweet, kemudian melihat atribut dari akun pengguna tweet tersebut. Pada proses penggalian data didapatkan sebanyak 849 tweet, 679 diantaranya diberikan label sentimen yang kemudian akan digunakan untuk membangun model machine learning berbasis IndoBERT. Selanjutnya, sebanyak 335 data terkait akun pengguna yang terikat dengan data tweet diatas juga didapatkan. Model machine learning yang dihasilkan mencapai akurasi sebesar 71%, didapatkan juga model paling baik dalam mengklasifikasi tweet dengan sentiment negatif. Ditemukan bahwa akun yang mendukung PSE atau memiliki postingan tweet dengan sentimen positif berusia lebih muda dibandingkan yang bersentimen negatif. Meski begitu rata-rata jumlah tweet yang dihasilkan akun-akun bersentimen positif lebih banyak dibandingkan akun dengan sentimen negatif meskipun rata-rata usianya jauh lebih tua. Ini menunjukkan bahwa akun bersentimen positif lebih sering mengirim tweet dibandingkan akun bersentimen negatif.

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Tweet Classification and Sentiment Analysis on Metaverse Related Messages

Cited by 10 publications

References 10 publications

Taking Virtual Reality and Augmented Reality to the Next Level: Artificial Intelligence With Mixed Reality

Taking Virtual Reality and Augmented Reality to the Next Level: Artificial Intelligence With Mixed Reality

A View of the Future of the Metaverse Economy on the Basis of the Global Financial System: New Opportunities and Risks

Analisis Karakteristik Akun Twitter Berdasarkan Sentimen Pendapat Terkait Undang-Undang PSE

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