Journal of Metaverse

Yazarlar: Özgür AĞRALI, Ömer AYDIN

Konular:Mühendislik, Ortak Disiplinler, Sosyal Bilimler, Disiplinler Arası

Anahtar Kelimeler:Sentiment analysis,Metaverse,Tweet classification,Twitter,NLP

Özet: The data obtained from social media platforms is a popular study subject nowadays. These studies give important information about the thoughts of the society towards an event, situation, or concept. For this purpose, several studies have been carried out with different methods in the literature. These studies mainly try to obtain meaningful results by applying various methods according to the language of the social media content. One of these platforms where people freely express their feelings and ideas is Twitter. It is a popular and useful study to examine people's feelings and tendencies about a topic by doing tweet analysis. In this study, feelings about Metaverse are tried to be evaluated. We evaluate the tweets posted one week ago and later of the date Mark Zuckerberg announced that her company would change its name to Meta. Tweets sent in English with the "metaverse" hashtag on Twitter were used as the dataset. These tweets were analysed by the Sentiment Analysis method. Obtained findings and results are shared comparatively.

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