U.S. consumer sentiment fell to a record low of 49.8 in April, reflecting broad pessimism across income, age, and political groups, according to the University of Michigan survey. Rising inflation ...

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

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

BERT-Sentiment-Analysis: A project using BERT-based models to perform sentiment analysis on multilingual text data, with examples in Arabic and English. This repository demonstrates loading, ...

As humans, we use a variety of skills to determine how someone is feeling. We listen to what they’re saying, watch their expression and body language, listen to changes in the tone of their voice, and ...

Monitoring and extracting trends from web content has become essential for market research, content creation, or staying ahead in your field. In this tutorial, we provide a practical guide to building ...

Cultural sensitivity matters. Sentiment systems now account for cultural nuances, which helps support global trust and better customer relationships. Throughout my three and a half decades in the ...

The ECO-SAM utilizes a pre-trained BERT encoder to obtain semantic embedding of input texts and then leverages a self-attention mechanism to model the semantic correlation between emotions.

Better customer retention. By identifying dissatisfaction early, sentiment analysis aids proactive interventions, which helps to reduce churn and improve loyalty. Transformative business insights.

Abstract: This study explores the complex process of sentiment analysis in reviews of international student rentals, a challenge made even more difficult by cultural, linguistic, and administrative ...