Abstract: The purpose of this research is to create a sentiment analysis model based on deep learning technologies to identify sentiment in text and emojis. The system utilizes natural language ...

Half of U.S. adults under 50 say they get health and wellness information from social media influencers or podcasts. 41% of these influencers describe themselves as health care professionals, and ...

Discover what savvy investors evaluate before trusting a crypto price prediction, including methodology, data quality, ...

With the rapid expansion of the new energy vehicle (NEV) market, charging and battery swapping have emerged as the two ...

A recent study found that a fine-tuned DistilBERT transformer model achieved 98.81% accuracy in analyzing public sentiment on ChatGPT's role in education, surpassing classical and deep learning ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

ABSTRACT: Large models perform better than traditional deep learning methods in terms of generalization and continuous learning capabilities, but the application of large models in vertical fields ...

Abstract: This research produces an extensive multilingual data mining sentiment analysis model. Utilizing the material obtained, such as consumer reviews as well as on social networking sites, ...