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Classification of Toxic Comments Based on Textual Data Using Deep Learning Algorithms

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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-73050-5_55openalex-extracted

Analysis of Text Mining Tools in Disease Prediction

inferredcites →https://doi.org/10.1007/978-981-15-1216-2_4openalex-extracted

Toxic Comment Detection in Online Discussions

inferredcites →https://doi.org/10.1007/978-981-15-5232-8_26openalex-extracted

An Analysis of Depression Detection Techniques from Online Social Networks

inferredcites →https://doi.org/10.1007/978-981-15-7106-0_3openalex-extracted

Multilabel Toxic Comment Classification Using Supervised Machine Learning Algorithms

inferredcites →https://doi.org/10.1007/s10278-022-00666-zopenalex-extracted

Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography

inferredcites →https://doi.org/10.1007/s10462-020-09919-1openalex-extracted

Text categorization: past and present

inferredcites →https://doi.org/10.1007/s11747-019-00695-1openalex-extracted

The future of social media in marketing

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Convolutional neural network: a review of models, methodologies and applications to object detection

inferredcites →https://doi.org/10.1016/j.appet.2021.105691openalex-extracted

Making sense of adolescent-targeted social media food marketing: A qualitative study of expert views on key definitions, priorities and challenges

inferredcites →https://doi.org/10.1016/j.energy.2023.127069openalex-extracted

Improving the prediction of heating energy consumed at residential buildings using a combination of support vector regression and meta-heuristic algorithms

inferredcites →https://doi.org/10.1016/j.eswa.2023.120576openalex-extracted

A novel study on forecasting the airfoil self-noise, using a hybrid model based on the combination of CatBoost and Arithmetic Optimization Algorithm

inferredcites →https://doi.org/10.1016/j.geoderma.2020.114552openalex-extracted

Multi-task convolutional neural networks outperformed random forest for mapping soil particle size fractions in central Iran

inferredcites →https://doi.org/10.1016/j.jksuci.2022.06.007openalex-extracted

AlexNet architecture based convolutional neural network for toxic comments classification

inferredcites →https://doi.org/10.1016/j.jtrangeo.2019.05.018openalex-extracted

The effects of traffic zoning with regular geometric shapes on the precision of trip production models

inferredcites →https://doi.org/10.1016/j.neucom.2022.12.040openalex-extracted

Multiple exponential stability and instability for state-dependent switched neural networks with time-varying delays and piecewise-linear radial basis activation functions

inferredcites →https://doi.org/10.1016/j.neunet.2020.01.018openalex-extracted

Theory of deep convolutional neural networks: Downsampling

inferredcites →https://doi.org/10.1016/j.physd.2019.132306openalex-extracted

Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network

inferredcites →https://doi.org/10.1016/j.scs.2023.104503openalex-extracted

Predicting the carbon dioxide emission caused by road transport using a Random Forest (RF) model combined by Meta-Heuristic Algorithms

inferredcites →https://doi.org/10.1017/pan.2022.15openalex-extracted

Creating and Comparing Dictionary, Word Embedding, and Transformer-Based Models to Measure Discrete Emotions in German Political Text

inferredcites →https://doi.org/10.1038/s41598-022-09744-2openalex-extracted

Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application

inferredcites →https://doi.org/10.1038/s41598-022-22523-3openalex-extracted

Deep learning for religious and continent-based toxic content detection and classification

inferredcites →https://doi.org/10.1080/00049530.2021.1898914openalex-extracted

Belonging and loneliness in cyberspace: impacts of social media on adolescents’ well-being

inferredcites →https://doi.org/10.1080/0267257x.2021.1912142openalex-extracted

The web of influencers. A marketing-audience classification of (potential) social media influencers

inferredcites →https://doi.org/10.1080/07421222.2021.1990610openalex-extracted

Emotions: The Unexplored Fuel of Fake News on Social Media

inferredcites →https://doi.org/10.1080/08839514.2021.2019885openalex-extracted

Learning Bilingual Word Embedding Mappings with Similar Words in Related Languages Using GAN

inferredcites →https://doi.org/10.1080/19186444.2021.1986340openalex-extracted

Effects of Facebook advertising on sustainable brand loyalty and growth: case of Thai start-up businesses

inferredcites →https://doi.org/10.1108/mip-04-2013-0056openalex-extracted

Brand strategies in social media

inferredcites →https://doi.org/10.1109/access.2019.2923796openalex-extracted

Improving Load Forecasting Process for a Power Distribution Network Using Hybrid AI and Deep Learning Algorithms

inferredcites →https://doi.org/10.1109/access.2021.3083638openalex-extracted

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

inferredcites →https://doi.org/10.1109/icitda55840.2022.9971451openalex-extracted

Systematic Literature Review of Stemming and Lemmatization Performance for Sentence Similarity

inferredcites →https://doi.org/10.1145/3200947.3208069openalex-extracted

Convolutional Neural Networks for Toxic Comment Classification

inferredcites →https://doi.org/10.1145/3439726openalex-extracted

Deep Learning--based Text Classification

inferredcites →https://doi.org/10.1145/3491102.3501879openalex-extracted

“It’s common and a part of being a content creator”: Understanding How Creators Experience and Cope with Hate and Harassment Online

inferredcites →https://doi.org/10.11591/ijeecs.v25.i2.pp1131-1139openalex-extracted

Crime prediction using a hybrid sentiment analysis approach based on the bidirectional encoder representations from transformers

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-extracted

Long Short-Term Memory

inferredcites →https://doi.org/10.1177/1094428120971683openalex-extracted

Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations

inferredcites →https://doi.org/10.200609/ijsoc.v3i1.264openalex-extracted

inferredcites →https://doi.org/10.21125/inted.2020.1533openalex-extracted

HATE SPEECH IN SOCIAL MEDIA: PERCEPTIONS AND ATTITUDES OF HIGHER EDUCATION STUDENTS IN PORTUGAL

inferredcites →https://doi.org/10.2139/ssrn.4127133openalex-extracted

inferredcites →https://doi.org/10.2196/34492openalex-extracted

Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)–Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study

inferredcites →https://doi.org/10.25046/aj050345openalex-extracted

Sentence Retrieval using Stemming and Lemmatization with Different Length of the Queries

inferredcites →https://doi.org/10.3389/fncom.2022.992296openalex-extracted

An efficient approach for textual data classification using deep learning

inferredcites →https://doi.org/10.3390/app10103443openalex-extracted

A Review of Convolutional Neural Network Applied to Fruit Image Processing

inferredcites →https://doi.org/10.3390/app10238631openalex-extracted

Comparison of Deep Learning Models and Various Text Pre-Processing Techniques for the Toxic Comments Classification

inferredcites →https://doi.org/10.3390/fi14090260openalex-extracted

Use of Data Augmentation Techniques in Detection of Antisocial Behavior Using Deep Learning Methods

inferredcites →https://doi.org/10.3390/su11061683openalex-extracted

The Impact of Social Media on Learning Behavior for Sustainable Education: Evidence of Students from Selected Universities in Pakistan

inferredcites →https://doi.org/10.36647/ttidmkd/02.04.a006openalex-extracted

The Importance of Text Mining for Services Management

inferredcites →https://doi.org/10.48550/arxiv.1810.01869openalex-extracted

inferredcites →https://doi.org/10.48550/arxiv.2004.03705openalex-extracted

Deep Learning Based Text Classification: A Comprehensive Review

inferredcites →https://doi.org/10.48550/arxiv.2106.04511openalex-extracted

Designing Toxic Content Classification for a Diversity of Perspectives

inferredcites →https://doi.org/10.48550/arxiv.2111.05754openalex-extracted

Prune Once for All: Sparse Pre-Trained Language Models

inferredcites →https://doi.org/10.54783/ijsoc.v3i1.264openalex-extracted

Utilization of Digital Marketing for MSME Players as Value Creation for Customers during the COVID-19 Pandemic

inferredcites →https://doi.org/10.56348/jos3.v2i2.26openalex-extracted

The Potential of Social Media as a Means of Online Business Promotion

inferredcites →https://doi.org/10.13140/rg.2.2.32630.45120openalex-snapshot

Machine Learning Suites for Online Toxicity Detection

inferredcites →https://doi.org/10.5220/0010502000002996openalex-snapshot

Exploring Alternatives to Softmax Function

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.54392/irjmt2565openalex-snapshot

A Multi-Label Toxic Comment Classification Framework using under Sampling and Deep Learning Models

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