Discover the top AI certifications for 2026 to boost your skills, impress employers, and prepare for high-demand AI and tech ...

XRP sentiment hits extreme fear at 24 while institutional ETFs accumulated $424M in December alone, and $1.3 billion in 50 days. Machine learning models achieve 70-91% accuracy predicting crypto moves ...

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 essential task in natural language processing (NLP) that has various applications ranging from product reviews to social media monitoring. Traditional approaches ...

Most teams treat SEO gap analysis as a simple keyword comparison. But a real gap analysis goes deeper. It shows where competitors cover topics more thoroughly, where their websites are easier for ...

Abstract: Sentiment analysis is a powerful tool for understanding customer opinions and enhancing business decision-making processes. This study explores the sentiment analysis of a large dataset ...

Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of ...

In addition, multiclass sentiment analysis using a fine-tuned Korean bidirectional encoder representations from transformers (KoBERT) model classified sentiments into 6 categories. The multiclass ...

1 Computer Science Department, Palestine Technical University - Kadoorie, Tulkarm, Palestine 2 Computer Science and Engineering Department, Universidad Carlos III de Madrid, Leganes, Spain ...

Sentiment analysis was conducted using the Bing Liu and National Research Council lexicons, with scores ranging from –1 (most negative) to 1 (most positive). Linguistic Inquiry and Word Count was used ...