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.
| Original language | English |
|---|---|
| Pages (from-to) | 902-907 |
| Number of pages | 6 |
| Journal | Procedia Computer Science |
| Volume | 238 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 15th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2024 / The 7th International Conference on Emerging Data and Industry 4.0, EDI40 2024 - Hasselt, Belgium Duration: 23 Apr 2024 → 25 Apr 2024 |
Keywords
- 6G Technology
- Metaverse
- Sentiment Analysis
- Twitter Data
- XLM-RoBERTa