Leveraging Convolutional Neural Networks for Enhanced Educational Question Classification

Question classification is a critical task in natural language processing, as well as applications in question-answering systems and intelligent personal assistants. This study presents novel machine learning approach for automatic question classification based on Bloom’s taxonomy, a hierarchical st...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	SN computer science Jg. 5; H. 8; S. 1052
Hauptverfasser:	Deena, G., Ancy Breen, W., Raja, K., Shanmuganathan, C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.12.2024 Springer Nature B.V
Schlagworte:	Accuracy Advances in Computational Approaches for Image Processing Artificial neural networks Automatic classification Automation Blooms taxonomy Classification Cloud Applications and Network Security Cognitive ability Computer Imaging Computer Science Computer Systems Organization and Communication Networks Critical thinking Data Structures and Information Theory Educational objectives Feature selection Information Systems and Communication Service Keywords Knowledge Language Machine learning Methods Natural language processing Original Research Pattern Recognition and Graphics Regression models Skills Software Engineering/Programming and Operating Systems Students Support vector machines Taxonomy Vision Wireless Networks Convolutional Neural Network Word embedding Bloom’s Taxonomy Machine Learning
ISSN:	2661-8907, 2662-995X, 2661-8907
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!