Enhancing Zero-Shot Crypto Sentiment With Fine-Tuned Language Model and Prompt Engineering

Enhancing Zero-Shot Crypto Sentiment With Fine-Tuned Language Model and Prompt Engineering

Blockchain technology has revolutionized the financial landscape, witnessing widespread adoption of cryptocurrencies due to their decentralized and transparent nature. As sentiments expressed on social media platforms wield substantial influence over cryptocurrency market dynamics, sentiment analysi...

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Bibliographic Details
Main Authors: Rahman S. M. Wahidur, Ishmam Tashdeed, Manjit Kaur, Heung-No Lee
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Zero-shot learning
in-context learning
supervised fine-tuning
instruction tuned
prompt engineering
Online Access:https://ieeexplore.ieee.org/document/10382518/

Internet

https://ieeexplore.ieee.org/document/10382518/

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