Comparative Analysis of CNN-RNN Models for Hatespeech Detection Incorporating L2 regularization | Handayani | International Journal of Engineering, Science and Information Technology

About The Authors

Tri Pratiwi Handayani
Universitas Muhammadiyah Gorontalo
Indonesia

Department of Information System, Faculty of Science and Computer

Wahyudin Hasyim
Universitas Muhammadiyah Gorontalo
Indonesia

Department of Information System, Faculty of Science and Computer

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Keywords Activity, City, Transportation, Analytical Hierarchy Process Analysis, Sentiment, TikTok Shop, Cosmetic Store, Support Vector Machine Analysis, Web Development, MBKM, Student, Project Augmented Reality, Mediscan, Interactive Media, Health Education Beauty Perception, Content Skincare, Content, Tiktok Body Mass Index, Hypotension, Caesarean Section, Spinal Anesthesia. Business Strategy, Consumer Behavior, SME Classification and Regression Trees, Fraud, Machine Learning, Naive Bayes, Particle Swarm Optimization Customer Loyalty, Travel Agent, Customer, Service, Loyalty Dose, Herbicide, Weeds, Arabica Coffee, Production Human Resource Management, Digital Transformation, Hotel Management KIP Scholarship, Decision Support System, EDAS, VIKOR Mobile Learning, Dynamic Time Warping, Tahsin Al-Quran Nordic Body Map OWA Productivity, Labor Costs, Business Goals, Performance RULA Tourism Industry, Technology, Foreign Tourist Visually Impaired, Braille Mathematics, Math Braille Translator, Website Wages, Real Sector, Capacity, Human Resources Weeds, Sweet Corn, Critical Period

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Copyright (c) 2024 Tri Pratiwi Handayani, Wahyudin Hasyim

International Journal of Engineering, Science and Information Technology (IJESTY) eISSN 2775-2674

Published by Department of Information Technology, Universitas Malikussaleh, Indonesia

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