As campaigning gathers pace across states, parties like BJP and Congress to regional players such as the DMK, AIADMK and ...
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 ...
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 ...
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 ...
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 ...
Sensormatic Solutions, the global retail solutions portfolio of Johnson Controls (JCI), continues to improve the capabilities of its cloud-based loss prevention (LP) application, Shrink Analyzer. The ...
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
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 ...
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