Abstract: Text Classification is the most widely studied problem area in Natural Language Processing (NLP). BERT is the most popular NLP model based on Transfer Learning with its pre-trained model ...

Abstract: The text-mining process has been transformed through Natural Language Processing (NLP), it allows researchers to extract essential information from extensive textual resources. The research ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

Grace is a Guides Staff Writer from New Zealand with a love for fiction and storytelling. Grace has been playing games since childhood and enjoys a range of different genres and titles. From pick your ...

This is a Natural Language Processing (NLP) application that provides comprehensive analysis of text input, including various statistics and visualizations. The application is available both as a ...

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...