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Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Frontiers

Advancing Knowledge-Based Economies and Societies through AI and Optimization: Innovations, Challenges, and Implications

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

Why Do AI Hallucinations Occur More Frequently In Finance And Crypto?

Why do AI hallucinations occur in finance and crypto? Learn how market volatility, data fragmentation, and probabilistic modeling increase the risk of misleading AI insights.
Analytics Insight

Top Crypto AI Tools for Trading & Analysis (2026)

Overview: Crypto AI tools help automate crypto trading and reduce emotional mistakes.Platforms like 3Commas and TradingView ...
IEEE

Revolutionizing Mental Health Sentiment Analysis With BERT-Fuse: A Hybrid Deep Learning Model

Abstract: Mental health disorders profoundly affect intellectual ability, emotional resilience, and social stability, leading to lasting effects on both individuals and society. Increasing global ...
Frontiers

Leveraging pre-trained embeddings in an ensemble machine learning approach for Arabic sentiment analysis

1 Computer Science Department, Palestine Technical University - Kadoorie, Tulkarm, Palestine 2 Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain ...
IEEE

Deep Sentiment Analysis Methods using Machine Learning for Extraction of Brand Value for Various Consumer Products

Abstract: This research produces an extensive multilingual data mining sentiment analysis model. Utilizing the material obtained, such as consumer reviews as well as on social networking sites, ...
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
Scientific Research Publishing

Suryawanshi, N.S. (2024) Sentiment Analysis with Machine Learning and Deep Learning: A Survey of Techniques and Applications. International Journal of Science and Research ...

ABSTRACT: In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper ...