IEEE

Annotation Guideline-Based Knowledge Augmentation: Toward Enhancing Large Language Models for Educational Text Classification

Abstract: Automated classification of learner-generated text to identify behavior, emotion, and cognition indicators, collectively known as learning engagement classification (LEC), has received ...
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 ...
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 ...
Frontiers

Parameter-efficient fine-tuning for low-resource text classification: a comparative study of LoRA, IA

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.
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 ...
InfoQ

Google Launched LangExtract, a Python Library for Structured Data Extraction from Unstructured Text

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
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 ...
Hosted on MSN

Sleep Classification with Python – EEG, Sklearn and MNE – Part 1

Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide. House GOP fails to pass tax and spending bill after key committee vote Game of Thrones: ...