Abstract: The multi-label text classification (MLTC) task involves associating text data with multiple relevant labels. However, previous studies often overlooked the co-occurrence information of ...

The global multi-part labels market is entering an exciting phase of growth and transformation, offering abundant opportunities for both established manufacturers and innovative newcomers. With ...

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature ...

ABSTRACT: The quantification and evaluation of ecosystem services represent key drivers for the sustainable development of human activities, particularly within the framework of natural capital ...

In the published article, there was an error in the Funding statement. The Funding statement was erroneously omitted, and financial support grants should have instead ...

1 School of Electronics and Electrical Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China 2 Department of Mechanical and Electrical Engineering, Henan Vocational College of ...

The Toxic Comments Classifier is a robust machine learning tool implemented in C++ designed to identify toxic comments in digital conversations. Featuring a custom-built multi-layer perceptron (MLP) ...

Abstract: Multi-label text categorization is a crucial task in Natural Language Processing, where each text instance can be simultaneously assigned to numerous labels. In this research, our goal is to ...