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Popular Python libraries used in Hugging Face models subject to poisoned metadata attack

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...
IEEE

A Review on Sentiment Analysis Using Transformers and Ensemble methods

Abstract: Sentiment Analysis is the field of study that examines people’s opinions, sentiments, valuations, appraisals, and attitudes and emotions from written language. It is one of the most active ...
Study Finds

Twitter (X) Users Accidentally Created America’s Most Accurate Pollen Map

Each year millions of Americans take to social media to complain about pollen. Scientists have put all that data to good use.
Journal of Medical Internet Research

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th ...

Revealing Patient Dissatisfaction With Health Care Resource Allocation in Multiple Dimensions Using Large Language Models and the International Classification of Diseases 11th Revision: Aspect-Based ...
Frontiers

Understanding user perceptions of DeepSeek: insights from sentiment, topic and network analysis using a Reddit-based study

Introduction: The launch of DeepSeek, a Chinese open-source generative AI model, generated substantial discussion regarding its capabilities and implications. The r/deepseek subreddit emerged as a key ...
IEEE

TwitAnalyze: A Deep Dive into Twitter Profile and Comment Sentiment Analysis

Abstract: Twitter is a platform where millions of users voice their opinions and sentiments on various topics on a daily basis. In this digital landscape, businesses recognize the importance of ...