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 ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...

Abstract: Sentiment analysis is an important task in natural language processing. Twitter sentiment analysis (SA) is the most frequently researched discipline today. Only a few researchers have ...

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 ...

ABSTRACT: 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 ...

HM Business School, Hochschule München University of Applied Sciences, Munich, Germany Characterized by high volatility the energy stock market provides ample research potential for stock market ...

In the evolving landscape of sports betting, alternative data (alt-data) is redefining predictive modelling. Once the domain of traditional statistics and historical outcomes, betting models are ...