AI models including GPT-4.1 and DeepSeek-3.1 can mirror ingroup versus outgroup bias in everyday language, a study finds. Researchers also report an ION training method that reduced the gap.
AI search sentiment is positive, but consistency isn’t. Data shows why volatility – not acronyms – is the real risk.
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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: 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 ...
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 ...
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 ...
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