While text-to-video artificial intelligence models like OpenAI's Sora are rapidly metamorphosing in front of our eyes, they have struggled to produce metamorphic videos. Simulating a tree sprouting or ...

ABSTRACT: This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional ...

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...

Moving forward, continuous optimization of classification algorithms will further enhance classification precision and execution efficiency, promoting the broader application of text classification ...

Neural Network Compression Framework (NNCF) provides a suite of post-training and training-time algorithms for optimizing inference ... Image CLIP Post-Training Quantization OpenVINO Image-to-Text ...

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

2. We compare 17 topic modeling algorithms based on both criteria. 3. We present considerations that can be used for the selection of a topic model for text classification. The outline of the article ...

Due to the hierarchical nature of deep learning models, complex functions can be learned to solve difficult classification problems that were previously unsolvable by classic machine learning ...