U.S. consumer sentiment plunged to a record low of 47.6 in early April, falling nearly 11% from March. Inflation fears and rising gas prices were key drivers of worsening consumer outlooks. Declines ...

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 ...

This is a comprehensive data solution designed to streamline the collection, transformation, and analysis of financial data related to gold as a commodity for investment portfolio management. A ...

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, ...

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

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.

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 ...