A New Hybrid Based on Long Short-Term Memory Network with Spotted Hyena Optimization Algorithm for Multi-Label Text Classification

An essential work in natural language processing is the Multi-Label Text Classification (MLTC). The purpose of the MLTC is to assign multiple labels to each document. Traditional text classification methods, such as machine learning usually involve data scattering and failure to discover relationshi...

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Veröffentlicht in:	Mathematics (Basel) Jg. 10; H. 3; S. 488
Hauptverfasser:	Khataei Maragheh, Hamed, Gharehchopogh, Farhad Soleimanian, Majidzadeh, Kambiz, Sangar, Amin Babazadeh
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.02.2022
Schlagworte:	Classification Datasets Deep learning deep learning neural networks Evolutionary algorithms Evolutionary computation Genetic algorithms Heuristic Heuristic methods Machine learning Mathematics Medical diagnosis Memory Model accuracy multi-label text classification Natural language processing Neural networks Optimization algorithms Particle swarm optimization Semantics short-term long-term memory spotted hyena optimizer Taxonomy Text categorization Weight
ISSN:	2227-7390, 2227-7390
Online-Zugang:	Volltext
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