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 ...

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 ...

Background and aims: Consultations and admissions for pathologies related to cannabis use are growing ininterrumpedly. The lack of public awareness of the risks can have a negative impact on our ...

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 ...

Picture this: You’ve tried everything to position your brand at the top of the charts, but nothing seems to work. That’s where transformative technologies, such as artificial intelligence and machine ...