Leveraging Large Language Models for Sentiment Analysis: Multi-Modal Analysis of Decentraland's MANA Token

This study explores the integration of Decentraland's Discord community sentiment analysis, using a BERT-based large language model, with multi-modal financial data to predict the MANA token price. Results indicate that a multi-modal model, incorporating sentiment, trading volume, and market capitalization, significantly outperforms a price-only prediction baseline.