Scientific American

Moltbot—what happens when AI stops chatting and starts doing

This open-source agent installs software, makes calls and runs your digital life—redefining what “digital assistants” are ...
IEEE

Sentiment Analysis Algorithm Based on Deep Transfer Learning for Multi-Source Data Fusion

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 ...
InfoWorld

16 open source projects transforming AI and machine learning

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...
IEEE

Sentiment Analysis Using Machine Learning Techniques for Geopolitical Event Trends

Abstract: Opinion mining using applied NLP techniques helps analyze the views of the public concerning specific topics via both news items and social media. Several machine learning models have been ...
Frontiers

Analyzing YouTube users’ comments on climate change issues presented through immersive mixed reality using sentiment analysis and network analysis tools

The use of modern technologies, including Immersive Mixed Reality (IMR) technologies, to present information on climate change has become essential due to their ability to simplify information and ...
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 ...