Abstract: Text preprocessing is a key step in Natural Language Processing (NLP) that deals with the cleaning, tokenization and structure of text before building models. A comparison of the recent ...

Abstract: Text classification remains a fundamental challenge in natural language processing (NLP), with performance often limited by the reliance on either traditional linguistic features or semantic ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. For anyone versed in the technical underpinnings of LLMs, this ...

When you’re working with AI and natural language processing, you’ll quickly encounter two fundamental concepts that often get confused: tokenization and chunking. While both involve breaking down text ...

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 ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

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 ...