Bitcoin whales accumulated over 32,000 BTC since January 10 while retail traders sold. Negative social sentiment may propel ...

On-chain metrics like transaction volume, active addresses, and exchange flows provide objective, real-time indicators of market sentiment. Sentiment analysis techniques, including NLP and ML models, ...

Abstract: In recent years, the explosive growth of user-generated review texts has underscored the academic and societal significance of sentiment analysis. Although deep learning has achieved ...

ABSTRACT: Text classification plays a critical role in numerous natural language processing applications, yet limited work has addressed the unique linguistic structure of African languages such as ...

U.S. consumer sentiment declined to its lowest level in more than three years and near an all-time low as households' concerns about the economic impact of the government shutdown mounted, according ...

Worries over the government shutdown surged in the early part of November, pushing consumer sentiment In to its lowest in more than three years and just off its worst level ever, according to a ...

Traditional bibliometric approaches to research impact assessment have predominantly relied on citation counts, overlooking the qualitative dimensions of how research is received and discussed.

Bullish sentiment increased 1.2 percentage points to 42.9%. Neutral sentiment decreased 1.1 percentage points to 17.9%. Bearish sentiment was unchanged at 39.2%. Optimism among individual investors ...

A fresh inflation reading a day earlier showed an uptick in price increases. Consumer sentiment dampened in September, extending a decline from the previous month as government data showed a hiring ...

Project Overview This project focuses on binary sentiment classification of movie reviews using deep learning models. Given a dataset of positive and negative review texts, the goal was to design, ...

Introduction: Image emotion classification (IEC), which predicts human emotional perception from images, is a research highlight for its wide applications. Recently, most existing methods have focused ...