We've crossed a threshold: machines that appear to relate. The promise is real, but so is the risk of eroding human identity.

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 ...

Ripple (XRP) raised $500M at a $40B valuation but the token price stayed flat for six months despite institutional backing. XRP dropped from $3.66 in July to the low $2.20s by November as weak volume ...

Traditional bibliometric approaches to research impact assessment have predominantly relied on citation counts, overlooking the qualitative dimensions of how research is received and discussed.

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 ...

This project focuses on analyzing public sentiment toward Apple and Google products by leveraging Natural Language Processing (NLP) techniques. The primary objective is to develop a robust model ...