Financial Sentiment Analysis (FSA) is an important domain application of sentiment analysis
that has gained increasing attention in the past decade. FSA research falls into two main …

This study aims to comprehensively review a recently emerging multidisciplinary area
related to the application of deep learning methods in cryptocurrency research. We first …

Blockchain technology is becoming increasingly popular because of its applications in
various fields. It gives an edge over the traditional centralized methods as it provides …

The cryptocurrency market has been developed at an unprecedented speed over the past
few years. Cryptocurrency works similar to standard currency, however, virtual payments are …

This paper provides an extensive examination of a sizable dataset of English tweets
focusing on nine widely recognized cryptocurrencies, specifically Cardano, Binance, Bitcoin …

Forecasting the stock market is one of the most difficult undertakings in the financial industry
due to its complex, volatile, noisy, and nonparametric character. However, as computer …

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

We offer theory and evidence regarding the impact of content ideology (ie, emotionally
charged beliefs expressed in sentiments) on opinion polarization (ie, conflicting attitudes …

Cryptocurrencies, recognized by their extreme volatility due to dependency on multiple
direct and indirect factors, offer a significant challenge regarding precise price forecasting …

This survey presents an in-depth review of the transformative role of Natural Language
Processing (NLP) in finance, highlighting its impact on ten major financial applications:(1) …