Exploring Sentiment and Topic Patterns in Metaverse Marketplace-Related Tweets

Author First name, Last name, Institution

Ahmed Al-Adaileh, Kingston University
Mousa Al-Kfairy, Zayed University
Mahmoud Khasawneh, College of Engineering, AlAin University, Abu Dhabi, United Arab Emirates
Nabil El Moutawakil El Alami, Université Ibn-Tofail

Document Type

Conference Proceeding

Source of Publication

2023 Tenth International Conference on Social Networks Analysis, Management and Security (SNAMS)

Publication Date

11-24-2023

Abstract

This research focuses on the Metaverse Marketplace in Twitter, an emerging e-commerce platform for virtual assets. By analyzing over 356,000 tweets, we explore user perspectives using sentiment analysis and topic modeling. The study revealed that the most discussed key themes were perceived benefits, enjoyment, security & privacy, and technology platforms' choices, all influencing user adoption. Users generally express optimism about the technology, with some concerns addressed in our study. The research's theoretical and practical implications are discussed in improving the user experience in the Metaverse Marketplace.

DOI Link

10.1109/snams60348.2023.10375460

ISBN

979-8-3503-1890-6

Publisher

IEEE

Volume

00

First Page

1

Last Page

7

Disciplines

Computer Sciences

Keywords

Metaverse Marketplace, Sentiment analysis, Topic modeling, User experience, Virtual assets

Recommended Citation

Al-Adaileh, Ahmed; Al-Kfairy, Mousa; Khasawneh, Mahmoud; and Alami, Nabil El Moutawakil El, "Exploring Sentiment and Topic Patterns in Metaverse Marketplace-Related Tweets" (2023). All Works. 6329.
https://zuscholars.zu.ac.ae/works/6329

Indexed in Scopus

no

Open Access

no