A Novel Stacked Ensemble for Hate Speech Recognition

A Novel Stacked Ensemble for Hate Speech Recognition

Detecting harmful content or hate speech on social media is a significant challenge due to the high throughput and large volume of content production on these platforms. Identifying hate speech in a timely manner is crucial in preventing its dissemination. We propose a novel stacked ensemble approac...

Full description

Bibliographic Details
Main Authors:	Mona Khalifa A. Aljero, Nazife Dimililer
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Applied Sciences
Subjects:	hate speech recognition stacking ensemble text classification binary classification stacked ensemble
Online Access:	https://www.mdpi.com/2076-3417/11/24/11684

Similar Items

A Multi-Tier Stacked Ensemble Algorithm to Reduce the Regret of Incremental Learning for Streaming Data
by: R. Pari, et al.
Published: (2018-01-01)

An Empirical Evaluation of Stacked Ensembles With Different Meta-Learners in Imbalanced Classification
by: Seng Zian, et al.
Published: (2021-01-01)

A Novel Multi-View Ensemble Learning Architecture to Improve the Structured Text Classification
by: Carlos Adriano Gonçalves, et al.
Published: (2022-06-01)

Stacked Ensemble Model for Tropical Cyclone Path Prediction
by: Kalim Sattar, et al.
Published: (2023-01-01)

Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting
by: Wilson Bakasa, et al.
Published: (2023-10-01)

Stacked Ensemble for Bioactive Molecule Prediction
by: Olutomilayo Olayemi Petinrin, et al.
Published: (2019-01-01)

Stacking-Based Ensemble Learning Method for Multi-Spectral Image Classification
by: Tagel Aboneh, et al.
Published: (2022-01-01)

Genetic Programming Approach to Detect Hate Speech in Social Media
by: Mona Khalifa A. Aljero, et al.
Published: (2021-01-01)

Online Multilingual Hate Speech Detection: Experimenting with Hindi and English Social Media
by: Neeraj Vashistha, et al.
Published: (2020-12-01)

Classification of PolSAR Images by Stacked Random Forests
by: Ronny Hänsch, et al.
Published: (2018-02-01)

Novel Hate Speech Detection Using Word Cloud Visualization and Ensemble Learning Coupled with Count Vectorizer
by: Turki Turki, et al.
Published: (2022-06-01)

LITHUANIAN HATE SPEECH CLASSIFICATION USING DEEP LEARNING METHODS
by: Eglė Kankevičiūtė, et al.
Published: (2023-09-01)

Computerized classification of gastrointestinal polyps using stacking ensemble of convolutional neural network
by: Mohammad Motiur Rahman, et al.
Published: (2021-01-01)

A Stacking Heterogeneous Ensemble Learning Method for the Prediction of Building Construction Project Costs
by: Uyeol Park, et al.
Published: (2022-09-01)

Enhancing Motor Imagery Electroencephalography Classification with a Correlation-Optimized Weighted Stacking Ensemble Model
by: Hossein Ahmadi, et al.
Published: (2024-03-01)

Predicting the depression in university students using stacking ensemble techniques over oversampling method
by: Alfredo Daza Vergaray, et al.
Published: (2023-01-01)

Hybrid Feature Embedded Sparse Stacked Autoencoder and Manifold Dimensionality Reduction Ensemble for Mental Health Speech Recognition
by: Hong Chen, et al.
Published: (2021-01-01)

Landslide Susceptibility Mapping Using the Stacking Ensemble Machine Learning Method in Lushui, Southwest China
by: Xudong Hu, et al.
Published: (2020-06-01)

Comparing Stacking Ensemble Techniques to Improve Musculoskeletal Fracture Image Classification
by: Ibrahem Kandel, et al.
Published: (2021-06-01)

Assessing the Impact of Contextual Information in Hate Speech Detection
by: Juan Manuel Perez, et al.
Published: (2023-01-01)

Enhancing Student's Performance Classification Using Ensemble Modeling
by: Ahmed Adil Nafea, et al.
Published: (2023-11-01)

A Stacking Ensemble Learning Method to Classify the Patterns of Complex Road Junctions
by: Min Yang, et al.
Published: (2022-10-01)

Advances in Machine Learning Algorithms for Hate Speech Detection in Social Media: A Review
by: Nanlir Sallau Mullah, et al.
Published: (2021-01-01)

Drilling Conditions Classification Based on Improved Stacking Ensemble Learning
by: Xinyi Yang, et al.
Published: (2023-08-01)

EEG-Based Emotion Classification Using Stacking Ensemble Approach
by: Subhajit Chatterjee, et al.
Published: (2022-11-01)

Landslide susceptibility assessment of South Korea using stacking ensemble machine learning
by: Seung-Min Lee, et al.
Published: (2024-02-01)

Applications of Stacking/Blending ensemble learning approaches for evaluating flash flood susceptibility
by: Jing Yao, et al.
Published: (2022-08-01)

Multi-Modal Stacking Ensemble for the Diagnosis of Cardiovascular Diseases
by: Taeyoung Yoon, et al.
Published: (2023-02-01)

SSEM: A Novel Self-Adaptive Stacking Ensemble Model for Classification
by: Weili Jiang, et al.
Published: (2019-01-01)

Hackem-LIBS: An Heterogeneous Stacking Ensemble Model for Laser-Induced Breakdown Spectroscopy Elemental Quantitative Analysis
by: Jian Zeng, et al.
Published: (2020-01-01)

Exploring the dominant features and data-driven detection of polycystic ovary syndrome through modified stacking ensemble machine learning technique
by: Sayma Alam Suha, et al.
Published: (2023-03-01)

Real-Time Underwater Acoustic Homing Weapon Target Recognition Based on a Stacking Technique of Ensemble Learning
by: Jianjing Deng, et al.
Published: (2023-12-01)

Non-Fatal Drowning Risk Prediction Based on Stacking Ensemble Algorithm
by: Xinshan Xie, et al.
Published: (2022-09-01)

Combined prediction of rockburst based on multiple factors and stacking ensemble algorithm
by: Hu Luo, et al.
Published: (2023-12-01)

Cervical Cancer Diagnosis Using Stacked Ensemble Model and Optimized Feature Selection: An Explainable Artificial Intelligence Approach
by: Abdulaziz AlMohimeed, et al.
Published: (2023-10-01)

Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques
by: Akib Mohi Ud Din Khanday, et al.
Published: (2022-11-01)

A stacking ensemble algorithm for improving the biases of forest aboveground biomass estimations from multiple remotely sensed datasets
by: Yuzhen Zhang, et al.
Published: (2022-12-01)

Prediction Method for Ocean Wave Height Based on Stacking Ensemble Learning Model
by: Yu Zhan, et al.
Published: (2022-08-01)

Improvement of Maximum Air Temperature Forecasts Using a Stacking Ensemble Technique
by: Linna Zhao, et al.
Published: (2023-03-01)

A Sustainable Fault Diagnosis Approach for Photovoltaic Systems Based on Stacking-Based Ensemble Learning Methods
by: Adel Mellit, et al.
Published: (2023-02-01)