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 ...

As 2026 begins, XRP ETFs have delivered the most compelling institutional adoption story in crypto—yet price hasn’t followed. In just 50 days since launching mid-November 2025, these products absorbed ...

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 ...

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 ...

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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 ...