ABSTRACT: Treatment-Resistant Depression (TRD) remains one of the most challenging subtypes of major depressive disorder, affecting approximately one-third of patients and leading to significant ...

Abstract: Target-oriented multimodal sentiment classification seeks to predict sentiment polarity for specific targets from image-text pairs. While existing works achieve competitive performance, they ...

Read full article: Beyond the scale: Shifting body norms and redefining healthy weight More lawsuits are coming for a former nurse at Sinai-Grace Hospital, where 47-year-old Wilfredo Figueroa-Berrios ...

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

WASHINGTON, Oct 10 (Reuters) - U.S. consumer sentiment was steady in October, with households appearing to shrug off a partial shutdown of the government, though worries about the labor market and ...

The sentiment analysis and translation models included in this repository are toy models designed for demonstration purposes. They may not achieve production-level accuracy and are intended for ...

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, ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Artificial intelligence is accelerating at breakneck speed, with larger models dominating the scene—more parameters, more data, more power. But here is the real question: Do we really need bigger to ...