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...
Main Authors: | Hamed Khataei Maragheh, Farhad Soleimanian Gharehchopogh, Kambiz Majidzadeh, Amin Babazadeh Sangar |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/10/3/488 |
Similar Items
-
Fitness Consequences of Innovation in Spotted Hyenas
by: Lily Johnson-Ulrich, et al.
Published: (2019-11-01) -
Associations between Toxoplasma gondii infection and steroid hormone levels in spotted hyenas
by: Zachary M. Laubach, et al.
Published: (2022-04-01) -
Hybrid Genetic and Spotted Hyena Optimizer for Flow Shop Scheduling Problem
by: Toufik Mzili, et al.
Published: (2023-05-01) -
An improved spotted hyena optimizer for PID parameters in an AVR system
by: Guo Zhou, et al.
Published: (2020-05-01) -
A Novel Hybrid Spotted Hyena Optimizer: An Algorithm for Fuel Consumption Capacitated Vehicle Routing Problem
by: Dana Marsetiya Utama, et al.
Published: (2023-07-01)