Template-Type: ReDIF-Article 1.0
Author-Name: Rajesh Kumar Mahto
Author-Email: rkmraj2085@gmail.com
Author-Name: Manisha Prasad
Author-Email: manisha.bca@patnawomenscollege.in
Author-Name: Kiran Dubey
Author-Email: kd1429kash@gmail.com
Title: The metaverse: analyzing public sentiment and engagement in an emerging digital frontier
Abstract: Introduction; The introduction highlights the growing global interest in the metaverse, which is characterized by immersive digital environments where users can interact in various ways. This trend is becoming increasingly relevant in the context of urban development and management. Objective; The dataset contains key metadata about the users, including their name, location, profile description, account creation date, follower count, and verification status.Method; This dataset provides a valuable resource for analyzing public sentiment, engagement patterns, and trending topics related to the Metaverse. The dataset can be leveraged to study user behavior, geographical distribution, and the role of verified accounts in shaping discussions.Result; This dataset serves as a crucial asset for researchers, marketers, and developers interested in understanding the dynamics of social media conversations about the Metaverse. Conclusion; As the Metaverse continues to develop, understanding public sentiment, engagement, and trends will be crucial for businesses, developers, and regulators. By employing sophisticated analytical techniques, stakeholders can navigate this digital frontier effectively, optimizing user experiences and capitalizing on new opportunities. 
Keywords: Metaverse, Artificial Intelligence, Sentiment analysis
Journal: Edu - Tech Enterprise
Pages: 7
Volume: 2
Issue: 
Year: 2024
Subtitle : 
File-URL: https://ete.sciten.org/index.php/ete/article/view/7/32
File-Format: application/pdf
Handle: RePEc:cua:edutec:v:2:y:2024:i::p:7:id:7