Abusive Language Detection

Abusive Language Detection in Online User Content

Abstract. Detection of abusive language in user generated online content has become an issue of increasing importance in recent years. Most current commercial ...

Abusive language detection in youtube comments leveraging ...

We introduce a new publicly available annotated dataset for abusive language detection in short texts. The dataset includes comments from ...

Detect All Abuse! Toward Universal Abusive Language Detection ...

In this paper, we introduce a new generic ALD framework, MACAS, which is capable of addressing several types of ALD tasks across different domains.

Abusive Language Detection in Social Media with Deep Learning

We provide an analysis over the existent state-of-the-art abusive language datasets and deep learning models in order to improve the classification of abusive ...

Abusive Language Detection on Arabic Social Media - ACL Anthology

In this paper, we present our work on detecting abusive language on Arabic social media. We extract a list of obscene words and hashtags using common patterns ...

A Dataset and Preliminaries Study for Abusive Language Detection ...

Nowadays many people on the internet (netizens) write and post an abusive language in the social media such as Facebook, Line, Twitter, etc. Detecting an ...

User Profiling and Abusive Language Detection Dataset

The tweets contains samples of five different categories of abusive messages. The account names of users have been anonymized so as not to violate the privacy ...

Transfer Language Selection for Zero-Shot Cross-Lingual Abusive ...

We study the selection of transfer languages for automatic abusive language detection. Instead of preparing a dataset for every language, we demonstrate the ...

Abusive Language Detection in Urdu Text: Leveraging Deep ...

In this study, we utilized popular ML and DL models integrated with attention mechanism to detect abusive language in Urdu text.

Abusive Language Detection in Online Conversations by Combining ...

In this paper, we propose to take advantage of both sources of information by proposing fusion methods integrating content- and graph-based features.

[PDF] Abusive Language Detection in Online User Content

A machine learning based method to detect hate speech on online user comments from two domains which outperforms a state-of-the-art deep learning approach ...

Abusive language detection from social media comments using ...

In this study, we perform abusive language detection from Urdu and Roman Urdu comments using five diverse ML models (NB, SVM, IBK, Logistic, and JRip) and four ...

Abusive Language Detection in Heterogeneous Contexts: Dataset ...

Abusive language is a massive problem in online social plat- forms. Existing abusive language detection techniques are particularly ill-suited to comments ...

Rationale-Guided Few-Shot Classification to Detect Abusive ... - arXiv

In this paper, we propose RGFS (Rationale-Guided Few-Shot Classification) for abusive language detection. We first build a multitask learning setup.

Towards multidomain and multilingual abusive language detection

This paper outlines and describes the current state of this research direction, providing an overview of previous studies, including the available datasets and ...

Using a BERT-based Ensemble Network for Abusive Language ...

This is mainly due to the fact that offensive language detection revolves mainly around detecting specific words, while abusive language detection focuses on ...

Enhancing abusive language detection: A domain-adapted ...

We propose the domain adaptation of the BERT language model for the task of detecting abusive language.

Hate Speech and Offensive Language Detection - Kaggle

How to use the dataset · The dataset is presented in a CSV file format named 'train. · It consists of annotated tweets with information about their ...

Data Bootstrapping Approaches to Improve Low Resource Abusive ...

Thus, the problem of abusive language should be addressed in all forms for online peace and safety. While extensive research exists in abusive speech detection, ...

Offensive Language Detection Online - Textrics- AI

Offensive Language Detection involves the adequate detection of potentially harmful messages on the internet in large volumes, quickly and efficiently.