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: Microblogging websites like Twitter and Facebook, in this new era, is loaded with opinions and data. One of the most widely used micro-blogging site, Twitter, is where people share their ...

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 ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that machine learning models can help predict whether a person might benefit from ...

In crypto’s fast-moving world, traders have long relied on charts, such as candlesticks, Fibonacci lines and Bollinger Bands, to interpret price action. But a quiet shift is underway. Instead of ...

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 ...