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Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification Using RVVC Model

https://doi.org/10.1109/access.2021.3083638

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Practical Text Analytics

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Toxic Comment Classification Using Hybrid Deep Learning Model

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The impact of preprocessing steps on the accuracy of machine learning algorithms in sentiment analysis

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Cyberbullying: Review of an Old Problem Gone Viral

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Classification of online toxic comments using the logistic regression and neural networks models

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Minimizing the Overlapping Degree to Improve Class-Imbalanced Learning Under Sparse Feature Selection: Application to Fraud Detection

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Overlapping Toxic Sentiment Classification Using Deep Neural Architectures

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Evaluation of SMOTE for High-Dimensional Class-Imbalanced Microarray Data

inferredcites →https://doi.org/10.1109/icmla.2018.00141openalex-snapshot

Imbalanced Toxic Comments Classification Using Data Augmentation and Deep Learning

inferredcites →https://doi.org/10.1109/iri.2015.39openalex-snapshot

Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data

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Abusive Language Detection in Online User Content

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Ex Machina

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Deep Learning for Hate Speech Detection in Tweets

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Convolutional Neural Networks for Toxic Comment Classification

inferredcites →https://doi.org/10.1186/1471-2105-14-106openalex-snapshot

SMOTE for high-dimensional class-imbalanced data

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A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

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SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

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SMOTE: Synthetic Minority Over-sampling Technique

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Using Convolutional Neural Networks to Classify Hate-Speech

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Challenges for Toxic Comment Classification: An In-Depth Error Analysis

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Classification of Imbalance Data using Tomek Link(T-Link) Combined with Random Under-sampling (RUS) as a Data Reduction Method

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Detecting Hate Speech in Social Media

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Impact of feature selection techniques in Text Classification: An Experimental study

inferredcites →https://doi.org/10.31142/ijtsrd23464openalex-snapshot

Toxic Comment Classification

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Tweets Classification on the Base of Sentiments for US Airline Companies

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Classification of Imbalance Data using Tomek Link (T-Link) Combined with Random Under-sampling (RUS) as a Data Reduction Method

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A Comparative Approach of Dimensionality Reduction Techniques in Text Classification

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Deceiving Google's Perspective API Built for Detecting Toxic Comments

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A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification

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Text Mining Of Twitter Data Using A Latent Dirichlet Allocation Topic Model And Sentiment Analysis

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inferred← citeshttps://doi.org/10.1186/s42162-024-00318-2openalex-snapshot

Enhanced fault detection in polymer electrolyte fuel cells via integral analysis and machine learning

inferred← citeshttps://doi.org/10.1371/journal.pone.0272350openalex-snapshot

Analyzing preventive precautions to limit spread of COVID-19

inferred← citeshttps://doi.org/10.1371/journal.pone.0309862openalex-snapshot

Optimising window size of semantic of classification model for identification of in-text citations based on context and intent

inferred← citeshttps://doi.org/10.14569/ijacsa.2023.0140542openalex-snapshot

Hate Speech Detection in Social Networks using Machine Learning and Deep Learning Methods

inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150557openalex-snapshot

Offensive Language Detection on Social Media using Machine Learning

inferred← citeshttps://doi.org/10.1515/ehs-2021-0028openalex-snapshot

Optimized routing with efficient energy transmission using Seline Trustworthy optimization for waste management in the smart cities

inferred← citeshttps://doi.org/10.17485/ijst/v15i17.2339openalex-snapshot

Performance Evaluation of Sentiment Analysis on Balanced and Imbalanced Dataset Using Ensemble Approach

inferred← citeshttps://doi.org/10.17485/ijst/v16i10.2138openalex-snapshot

Aspect Based Sentiment Analysis and Opinion Mining on Twitter Data Set Using Linguistic Rules

inferred← citeshttps://doi.org/10.19101/ijatee.2022.10100099openalex-snapshot

Implicit aspect based sentiment analysis for restaurant review using LDA topic modeling and ensemble approach

inferred← citeshttps://doi.org/10.21203/rs.3.rs-3250839/v1openalex-snapshot

Sentiment Analysis Using Multinomial LR-LSTM Model

inferred← citeshttps://doi.org/10.2139/ssrn.4237694openalex-snapshot

Extracting Useful Emergency Information from Social Media: A Method Integrating Machine Learning and Rule-Based Classification

inferred← citeshttps://doi.org/10.2174/0115734099315538240909101737openalex-snapshot

Hybrid Class Balancing Approach for Chemical Compound Toxicity Prediction

inferred← citeshttps://doi.org/10.2196/45289openalex-snapshot

Bidirectional Long Short-Term Memory–Based Detection of Adverse Drug Reaction Posts Using Korean Social Networking Services Data: Deep Learning Approaches

inferred← citeshttps://doi.org/10.2196/preprints.45289openalex-snapshot

Bi-LSTM based detection of ADR posts using Korean SNS data (Preprint)

inferred← citeshttps://doi.org/10.23919/eecsi56542.2022.9946508openalex-snapshot

Improving the Accuracy of Text Classification Using the Over Sampling Technique in the Case of Sinovac Vaccine

inferred← citeshttps://doi.org/10.24815/jn.v23i3.29144openalex-snapshot

Predicting life expectancy of lung cancer patients after thoracic surgery using SMOTE and machine learning approaches

inferred← citeshttps://doi.org/10.25077/teknosi.v9i3.2023.290-298openalex-snapshot

Improving Multi-label Classification Performance on Imbalanced Datasets Through SMOTE Technique and Data Augmentation Using IndoBERT Model

inferred← citeshttps://doi.org/10.25126/jtiik.1067325openalex-snapshot

Penerapan Text Augmentation untuk Mengatasi Data yang Tidak Seimbang pada Klasifikasi Teks Berbahasa Indonesia

inferred← citeshttps://doi.org/10.25126/jtiik.20231057252openalex-snapshot

Seleksi Fitur dengan Particle Swarm Optimization pada Klasifikasi Penyakit Parkinson Menggunakan XGBoost

inferred← citeshttps://doi.org/10.26636/jtit.2023.164522openalex-snapshot

Preserving Integrity of Evidence with Blockchain Technology in Cloud Forensics for Immigration Management

inferred← citeshttps://doi.org/10.29407/intensif.v8i2.23046openalex-snapshot

Sentiment Analysis of Sirekap Tweets Using CNN Algorithm

inferred← citeshttps://doi.org/10.30812/matrik.v22i3.2860openalex-snapshot

Comparison of Machine Learning Methods for Classifying User Satisfaction Opinions of the PeduliLindungi Application

inferred← citeshttps://doi.org/10.30998/faktorexacta.v17i2.22442openalex-snapshot

Analisis Sentimen Terhadap Kontroversi Putusan MK Mengenai Usia Capres-Cawapres Menggunakan Multi-Layer Perceptron Dengan Teknik SMOTE

inferred← citeshttps://doi.org/10.31181/jopi1120233openalex-snapshot

Comparison of Machine Learning Approaches for Detecting COVID-19-Lockdown-Related Discussions During Recovery and Lockdown Periods

inferred← citeshttps://doi.org/10.31571/saintek.v13i1.4002openalex-snapshot

Perbandingan performa deteksi cyberbullying dengan transformer, deep learning, dan machine learning

inferred← citeshttps://doi.org/10.31586/jsmhes.2023.697openalex-snapshot

A Comparative Study of Attention-Based Transformer Networks and Traditional Machine Learning Methods for Toxic Comments Classification

inferred← citeshttps://doi.org/10.31763/sitech.v3i2.1215openalex-snapshot

Text classification of traditional and national songs using naïve bayes algorithm

inferred← citeshttps://doi.org/10.3233/web-210474openalex-snapshot

A comprehensive survey on container resource allocation approaches in cloud computing: State-of-the-art and research challenges

inferred← citeshttps://doi.org/10.32604/cmc.2023.032993openalex-snapshot

Cyberbullying-related Hate Speech Detection Using Shallow-to-deep Learning

inferred← citeshttps://doi.org/10.32604/csse.2023.029059openalex-snapshot

Drug Usage Safety from Drug Reviews with Hybrid Machine Learning Approach

inferred← citeshttps://doi.org/10.32628/cseit2410452openalex-snapshot

SMS Spam Filteration Using Text Features and Supervised Machine Learning Algorithms

inferred← citeshttps://doi.org/10.33022/ijcs.v13i3.4041openalex-snapshot

Perbandingan Algoritma XGBoost dan SVM Dalam Analisis Opini Publik Pemilihan Presiden 2024

inferred← citeshttps://doi.org/10.33050/ccit.v15i2.2286openalex-snapshot

Classification of Public Complaints Basedon Text Mining Using Modified K-Nearest Neighbor, Naïve Bayes and C4.5 Algorithm

inferred← citeshttps://doi.org/10.3389/fpsyg.2022.906928openalex-snapshot

Brand Potential User Identification Algorithm Based on Sentiment Analysis

inferred← citeshttps://doi.org/10.3390/analytics1020009openalex-snapshot

Comparison of Different Modeling Techniques for Flemish Twitter Sentiment Analysis

inferred← citeshttps://doi.org/10.3390/app11188438openalex-snapshot

Sentiment Analysis and Topic Modeling on Tweets about Online Education during COVID-19

inferred← citeshttps://doi.org/10.3390/app12115547openalex-snapshot

An Improved Sentiment Classification Approach for Measuring User Satisfaction toward Governmental Services’ Mobile Apps Using Machine Learning Methods with Feature Engineering and SMOTE Technique

inferred← citeshttps://doi.org/10.3390/app12178522openalex-snapshot

Using Aspect-Level Sentiments for Calling App Recommendation with Hybrid Deep-Learning Models

inferred← citeshttps://doi.org/10.3390/app14010300openalex-snapshot

Multi-Task Aspect-Based Sentiment: A Hybrid Sampling and Stance Detection Approach

inferred← citeshttps://doi.org/10.3390/biomedicines11030849openalex-snapshot

Using Mean Arterial Pressure in Hypertension Diagnosis versus Using Either Systolic or Diastolic Blood Pressure Measurements

inferred← citeshttps://doi.org/10.3390/cancers14215457openalex-snapshot

An Effective Method for Lung Cancer Diagnosis from CT Scan Using Deep Learning-Based Support Vector Network

inferred← citeshttps://doi.org/10.3390/diagnostics12051280openalex-snapshot

Pneumonia Classification from X-ray Images with Inception-V3 and Convolutional Neural Network

inferred← citeshttps://doi.org/10.3390/diagnostics12061474openalex-snapshot

Incorporating CNN Features for Optimizing Performance of Ensemble Classifier for Cardiovascular Disease Prediction

inferred← citeshttps://doi.org/10.3390/electronics11050715openalex-snapshot

Topic Modeling and Sentiment Analysis of Online Education in the COVID-19 Era Using Social Networks Based Datasets

inferred← citeshttps://doi.org/10.3390/healthcare10112230openalex-snapshot

White Blood Cell Classification Using Texture and RGB Features of Oversampled Microscopic Images

inferred← citeshttps://doi.org/10.3390/info12090374openalex-snapshot

A Tweet Sentiment Classification Approach Using a Hybrid Stacked Ensemble Technique

inferred← citeshttps://doi.org/10.3390/math13132136openalex-snapshot

A Novel Trustworthy Toxic Text Detection Method with Entropy-Oriented Invariant Representation Learning for Portuguese Community

inferred← citeshttps://doi.org/10.3390/pharmaceutics15051337openalex-snapshot

Protein Fitness Prediction Is Impacted by the Interplay of Language Models, Ensemble Learning, and Sampling Methods

inferred← citeshttps://doi.org/10.3390/s21248336openalex-snapshot

Respiration Based Non-Invasive Approach for Emotion Recognition Using Impulse Radio Ultra Wide Band Radar and Machine Learning

inferred← citeshttps://doi.org/10.3390/s22134834openalex-snapshot

Predicting Students’ Academic Performance with Conditional Generative Adversarial Network and Deep SVM

inferred← citeshttps://doi.org/10.3390/s23041748openalex-snapshot

Fake News Detection Model on Social Media by Leveraging Sentiment Analysis of News Content and Emotion Analysis of Users’ Comments

inferred← citeshttps://doi.org/10.3390/s23167018openalex-snapshot

Railway Track Fault Detection Using Selective MFCC Features from Acoustic Data

inferred← citeshttps://doi.org/10.34123/icdsos.v2023i1.324openalex-snapshot

Automated Indonesian Text Augmentation with Web-Based Application Using Flask Framework

inferred← citeshttps://doi.org/10.35970/infotekmesin.v14i1.1751openalex-snapshot

Penerapan Data Mining dalam Analisis Prediksi Kanker Paru Menggunakan Algoritma Random Forest

inferred← citeshttps://doi.org/10.36040/jati.v7i3.6887openalex-snapshot

PENERAPAN NAÏVE BAYES DENGAN OPTIMASI INFORMATION GAIN DAN SMOTE UNTUK ANALISIS SENTIMEN PENGGUNA APLIKASI CHATGPT

inferred← citeshttps://doi.org/10.36227/techrxiv.24634080openalex-snapshot

Toxic Comment Detection Using Bidirectional Sequence Classifiers

inferred← citeshttps://doi.org/10.36227/techrxiv.24634080.v1openalex-snapshot

Toxic Comment Detection Using Bidirectional Sequence Classifiers

inferred← citeshttps://doi.org/10.36909/jer.12747openalex-snapshot

Intelligent Prediction Model: Optimized Neural Network for Lean Manufacturing Technology

inferred← citeshttps://doi.org/10.36909/jer.onlineopenalex-snapshot

inferred← citeshttps://doi.org/10.3934/math.2024851openalex-snapshot

MSFSS: A whale optimization-based multiple sampling feature selection stacking ensemble algorithm for classifying imbalanced data

inferred← citeshttps://doi.org/10.4018/978-1-6684-6060-3.ch006openalex-snapshot

An Introduction to Deepfakes on Cryptographic Image Security

inferred← citeshttps://doi.org/10.4018/ijsir.304722openalex-snapshot

Hybrid Optimization-Based Structural Design of Deep Q Network With Feature Selection Algorithm for Medical Data Classification

inferred← citeshttps://doi.org/10.53555/jaz.v45is4.4172openalex-snapshot

Predictive Modelling Of Stress Levels: A Comparative Analysis Of Machine Learning Algorithms

inferred← citeshttps://doi.org/10.55730/1300-0632.4105openalex-snapshot

Developing Linguistic Patterns to Mitigate Inherent Human Bias in Offensive Language Detection

inferred← citeshttps://doi.org/10.57152/malcom.v3i2.897openalex-snapshot

Perbandingan Evaluasi Kernel SVM untuk Klasifikasi Sentimen dalam Analisis Kenaikan Harga BBM

inferred← citeshttps://doi.org/10.5753/stil.2025.37843openalex-snapshot

Techniques for Dealing with Imbalanced Data: A Systematic Literature Review

inferred← citeshttps://doi.org/10.6339/24-jds1154openalex-snapshot

Is Augmentation Effective in Improving Prediction in Imbalanced Datasets?

inferred← citeshttps://doi.org/10.71052/srb2024/wtwq7807openalex-snapshot

ToxiGuard: An Ensemble TF-IDF Framework for Multi-label Toxic Comment Filtering

inferred← citeshttps://doi.org/10.71146/kjmr161openalex-snapshot

INTELLIGENT EMERGENCY VEHICLE SOUND CLASSIFICATION FOR PUBLIC SAFETY

inferred← citeshttps://doi.org/10.7287/peerj-cs.1141v0.1/reviews/1openalex-snapshot

Peer Review #1 of "Self voting classification model for online meeting app review sentiment analysis and topic modeling (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1141v0.1/reviews/2openalex-snapshot

Peer Review #2 of "Self voting classification model for online meeting app review sentiment analysis and topic modeling (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1141v0.2/reviews/1openalex-snapshot

Peer Review #1 of "Self voting classification model for online meeting app review sentiment analysis and topic modeling (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.1141v0.2/reviews/2openalex-snapshot

Peer Review #2 of "Self voting classification model for online meeting app review sentiment analysis and topic modeling (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.854v0.1/reviews/1openalex-snapshot

Peer Review #1 of "An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.854v0.1/reviews/2openalex-snapshot

Peer Review #2 of "An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.854v0.2/reviews/1openalex-snapshot

Peer Review #1 of "An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.854v0.2/reviews/2openalex-snapshot

Peer Review #2 of "An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.1/reviews/1openalex-snapshot

Peer Review #1 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.1/reviews/2openalex-snapshot

Peer Review #2 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.1/reviews/3openalex-snapshot

Peer Review #3 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.1/reviews/4openalex-snapshot

Peer Review #4 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.1)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.2/reviews/2openalex-snapshot

Peer Review #2 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.2/reviews/5openalex-snapshot

Peer Review #5 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.2)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.3/reviews/5openalex-snapshot

Peer Review #5 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.3)"

inferred← citeshttps://doi.org/10.7287/peerj-cs.914v0.4/reviews/5openalex-snapshot

Peer Review #5 of "Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms (v0.4)"

inferred← citeshttps://doi.org/10.7717/peerj-cs.1134openalex-snapshot

Predicting bankruptcy of firms using earnings call data and transfer learning

inferred← citeshttps://doi.org/10.7717/peerj-cs.1141openalex-snapshot

Self voting classification model for online meeting app review sentiment analysis and topic modeling

inferred← citeshttps://doi.org/10.7717/peerj-cs.1154openalex-snapshot

A systematic hybrid machine learning approach for stress prediction

inferred← citeshttps://doi.org/10.7717/peerj-cs.712openalex-snapshot

Sentiment classification for employees reviews using regression vector- stochastic gradient descent classifier (RV-SGDC)

inferred← citeshttps://doi.org/10.7717/peerj-cs.745openalex-snapshot

Deepfake tweets classification using stacked Bi-LSTM and words embedding

showing the first 200 of 202

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