Feb. 19, 2024, 5:42 a.m. | Xiaorui Zuo, Yao-Tsung Chen, Wolfgang Karl H\"ardle

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.10481v1 Announce Type: cross
Abstract: In the burgeoning realm of cryptocurrency, social media platforms like Twitter have become pivotal in influencing market trends and investor sentiments. In our study, we leverage GPT-4 and a fine-tuned transformer-based BERT model for a multimodal sentiment analysis, focusing on the impact of emoji sentiment on cryptocurrency markets. By translating emojis into quantifiable sentiment data, we correlate these insights with key market indicators like BTC Price and the VCRIX index. This approach may be fed …

abstract analysis arxiv become bert crypto cryptocurrency cs.ai cs.cl cs.lg emoji gpt gpt-4 impact investor markets media multimodal pivotal platforms q-fin.cp q-fin.st sentiment sentiment analysis social social media social media platforms study transformer trends twitter type

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US