In recent years, cryptocurrencies have been considered as an asset by public investors and
received much research attention. It is a volatile asset, thus predicting its prices is not easy …

The use of deep learning in conjunction with models that extract emotion-related information
from texts to predict financial time series is based on the assumption that what is said about …

Cryptocurrencies are becoming increasingly prominent in financial investments, with more
investors diversifying their portfolios and individuals drawn to their ease of use and …

This paper comprehensively examines Large Language Models (LLMs) in sentiment
analysis, specifically focusing on financial markets and exploring the correlation between …

Predicting stock market movements has always been of great interest to investors and an
active area of research. Research has proven that popularity of products is highly influenced …

Cryptocurrency trading is becoming popular due to its profitable investment and has led to
worldwide involvement in buying and selling cryptocurrency assets. Sentiments expressed …

The exponential growth of cryptocurrencies in the last decade has been accompanied by a
surge in illicit activities, such as pump-and-dump schemes, Ponzi schemes, and exit scams …

Emotions are a central aspect of communication. Consequently, emotion analysis (EA) is a
rapidly growing field in natural language processing (NLP). However, there is no consensus …

Cryptocurrencies are volatile assets that receive much attention in the media and academic
literature. This paper focuses on the relationship between online factors from Twitter, Reddit …