IEEE

A Novel Approach for Mitigating Class Imbalance in Arabic Text Classification

Abstract: Natural language processing (NLP) has become somewhat well-known because of its many uses; deep neural networks have driven major developments. Still, there are difficulties, especially in ...
IEEE

Adaptive Boosting LLMs for Text Classification

Abstract: With large-scale language models demonstrating superior capabilities in a wide range of downstream natural language processing tasks, the future trajectory of research in the field of text ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Pratt Institute

Text Processing and Analysis with Python

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 ...
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 ...
GitHub

NhanPhamThanh-IT/ML-Article-Classifier

ML-Article-Classifier is a comprehensive Python project for classifying articles using state-of-the-art Natural Language Processing (NLP) techniques. It leverages sentence embeddings and machine ...
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 ...