A new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can ...

In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While ...

Information is still getting out despite an almost total internet blackout, especially with the help of diaspora groups. That ...

This project develops a web application for real-time sentiment analysis of Twitter streams using Apache Kafka and machine learning models. The application categorizes each tweet as Negative, Positive ...

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 ...

Abstract: Twitter is one of the broadly used social networking structures with greater than 192 million each day lively customers and a 500 million Tweets. Basically, Twitter is reaching a large ...

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 ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing. When you purchase through ...

HM Business School, Hochschule München University of Applied Sciences, Munich, Germany Characterized by high volatility the energy stock market provides ample research potential for stock market ...

Abstract: The rapid growth of digital content has made sentiment analysis (SA) an essential tool for understanding public sentiment and classifying textual data. Despite significant progress in ...