DeBERTa-Based Social Media Sentiment Analysis: A Cryptocurrency Case Study

Abstract

The emergence of cryptocurrencies has dramatically impacted the financial sector, drawing significant attention and sparking widespread debates across platforms like Facebook and Reddit. These discussions offer crucial insights into public sentiment, which uniquely influences cryptocurrency valuations, setting them apart from traditional financial products. Due to this sensitivity to public opinion, both the academic and financial sectors are closely monitoring these dynamics. This paper utilizes Natural Language Processing (NLP) technologies, specifically the DeBERTa model, to perform an in-depth sentiment analysis of cryptocurrency-related discussions on Reddit. Our methodology classifies sentiments into five levels—very positive, positive, neutral, negative, and very negative—allowing for a precise assessment of public emotions and acceptance of cryptocurrencies. The findings provide vital data for market analysis and underscore the significant influence of public sentiment on the cryptocurrency markets.