Agentive AI in Healthcare Market Set to Surpass USD 10.86 Billion by 2032, Fueled by Automation and Clinical Innovation – SNS Insider

SNS Insider projects the U.S. Agentive AI in Healthcare Market to grow from USD 200.22 Million in 2024 to USD 3957.44 Million by 2032, at a CAGR of 45.16%.Austin, Nov. 07, 2025 (GLOBE NEWSWIRE) -- ...
IEEE

Improving Text Classification by Fusing Linguistic and Semantic Features

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 ...
GitHub

Harnessing LSTM Networks for Advanced Text Classification in NLP

This project demonstrates the use of Long Short-Term Memory (LSTM) networks for classifying text messages as spam or ham (non-spam). By combining Natural Language Processing (NLP) techniques with deep ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
marktechpost

How to Build a Complete End-to-End NLP Pipeline with Gensim: Topic Modeling, Word Embeddings, Semantic Search, and Advanced Text Analysis

In this tutorial, we present a complete end-to-end Natural Language Processing (NLP) pipeline built with Gensim and supporting libraries, designed to run seamlessly in Google Colab. It integrates ...
GitHub

text-analysis-and-classification-using-nlp

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 ...
Rochester Institute of Technology

Studying the role of cultural and linguistic diversity

Peter Hauser has spent the past two decades studying how deaf people develop, learn, grow, and live. Today, he is at the helm of a new project—a research-based incubator—where junior faculty at RIT’s ...
ascopubs.org

From text to insight: Methods for validation of NLP-extracted real-world oncology data using a human-in-the-loop electronic review tool.

Real world analysis of VTE incidence in lung cancer: A comprehensive assessment of the Khorana score and other clinical factors in predicting VTE incidence. This is an ASCO Meeting Abstract from the ...
Scientific Research Publishing

Minaee, S., Kalchbrenner, N., Cambria, E., Nikzad, N., Chenaghlu, M. and Gao, J. (2021) Deep Learning-Based Text Classification. ACM Computing Surveys, 54, 1-40.

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 ...
Frontiers

Medical short text classification via Soft Prompt-tuning

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 ...