IEEE

HiGATA: Hierarchy-aware Graph Attention Networks Enhanced by Topological Analysis for Hierarchical Multi-Label Text Classification

Abstract: Hierarchical text classification (HTC) is an important yet challenging task in natural language processing (NLP), primarily due to the complexity of its taxonomic label hierarchy. Existing ...
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 ...
Hosted on MSN

Build a Neural Network for Multiclass Classification with Softmax in Python

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
marktechpost

Google AI Releases LangExtract: An Open Source Python Library that Extracts Structured Data from Unstructured Text Documents

LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...
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 ...
Scientific Research Publishing

Allam, H., Makubvure, L., Gyamfi, B., Graham, K. and Akinwolere, K. (2025) Text Classification: How Machine Learning Is Revolutionizing Text Categorization. Information, 16, 130.

ABSTRACT: Pregnancy presents a unique clinical scenario where the safety of pharmacological interventions is of paramount importance. The potential teratogenic risks associated with drug intake during ...
IEEE

Medical Graph Diffusion: Hybrid Graph Diffusion With Heterogeneous Graph Convolutional Networks for Medical Text Classification

Abstract: Text classification is a critical task for understanding the knowledge behind text, especially in medical text. In this paper, we propose a medical graph diffusion model, named the MGD model ...