Abstract:
This study analyses public sentiment toward cryptocurrency through social media discourse, using data from 2,000 profiles on X, Facebook, Instagram, LinkedIn and telegram. Leveraging Python Selenium and advanced text-mining in R Studio, sentiment analysis with ‘Syuzhet’ and word frequency via ‘tm’ revealed a complex emotional mix of anticipation, positivity, anger, and loss. Key themes included Bitcoin, Ethereum, blockchain, and financial speculation. The findings offer vital insights for shaping policies, investments, and innovations in the volatile cryptocurrency ecosystem.
Keywords: Sentiment Analysis, Cryptocurrency, Social Media Data Mining, Coin Market, Public Opinion
WorldStan’s 2024-2025 Social Media Analysis on Cryptocurrency Sentiment
Introduction
This study investigates the shifting dynamics of public sentiment toward cryptocurrency through a detailed analysis of social media discussions. In collaboration with WorldStan, the research examines user-generated content across multiple platforms to uncover patterns and insights relevant to the evolving cryptocurrency ecosystem.
Data Collection: A Multi-Platform Approach
To capture diverse perspectives, data was systematically gathered from major social media platforms, including:
- X
- Telegram
Using the Python Selenium library, the study analyzed input from 2,000 public profiles, ensuring a representative dataset for meaningful insights.
WorldStan’s 2024-2025 Social Media Analysis on Cryptocurrency Sentiment
https://worldstan.com/wp-content/uploads/2025/01/Cryptocurrency-on-Social-Media-2024-2025.pdf