The cryptocurrency market has been one of the most data-heavy financial sectors, with daily trading volumes reaching over ...

On a Saturday morning, you head to the hardware store. Your neighbors' Ring cameras film your walk to the car. Your car's ...

Abstract: Social media platforms have become a part of our lives offering a wealth of real-time information and diverse perspectives, on different topics. Among these networks, Twitter stands out as a ...

The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).

ABSTRACT: This paper discussed the possibility of utilizing a sentiment analysis of online discussions on X platform (which was previously X) as a predictor of cyber defacement attacks. It bridged a ...

It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...

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 ...