In 2023, the website then known as Twitter partially open sourced its algorithm for the first time. In those days, Tesla ...
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 ...
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How social media is channeling popular discontent in Iran during ongoing period of domestic unrest
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 ...
ChatGPT and Grok are becoming the go-to tools for crypto traders, offering faster context, sentiment and strategic clarity, all through conversation. In crypto’s fast-moving world, traders have long ...
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 ...
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