Abstract
This study employs the XLM-RoBERTa transformer model to perform sentiment analysis on Twitter data, focusing on discussions around the Metaverse and 6G technologies. Through a comprehensive dataset, we analyzed tweets to discern public sentiment, classifying them into negative, neutral, positive, and a calculated final sentiment score. Our results demonstrate a predominance of neutral and positive sentiments, with negative sentiments less frequent but impactful when present. The analysis, visualized through bar charts, box plots, and histograms, suggests a cautiously optimistic public view towards these cutting-edge technologies. The research highlights the effectiveness of XLM-RoBERTa in processing complex language data and contributes to understanding the public perception that may influence the adoption and development of the Metaverse and 6G.
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