Detecting hate speech in tweets

This repository contains code for developing a spaCy pipeline for Hostile Narrative Analysis.

Hate Speech classification in Italian using XLM (fine-tuning). Published at the WOAH workshop (NAACL2022).

Multilingual Offensive Lexicon consists of the first contextual lexicon for abusive language detection, which is composed of 1,000 explicit and implicit terms and expressions with any pejorative connotation annotated with contextual information

Visualize Twitter hatespeech on a heatmap.

A hosts file which blocks all services from Fox News Group.

hate speech project (master)

Can we use the explanation to improve hate speech detection ? Our paper accepted in ECAI 2023 explores this idea by introducing a new architecture for this purpose.

Infrastructure for hate-speech detection

김포고등학교 2018 ESD 프로젝트: 혐오 및 차별 단어 필터링

Machine learning model to detect hatespeech

UINSUSKA participation in HASOC 2023 Task 1

Twitter hate speech detection and similarities between positive detected tweets

We utilized a pre-trained model to classify Arabic text. After conducting extensive research, we found that MarBERT was the best model for classifying Arabic offensive tweets. It focuses on dialectal Arabic (DA) and Modern Standard Arabic (MSA). The competition involves two shared sub-tasks: detecting whether a tweet is offensive or not; and det…

COVID-19 Anti-Asian Racism Hate Speech Detection using Transfer Learning

The task is a binary classification problem to classify the given dataset into two classes namely Hate Offensive tweets (HOF) and Non-Hate Offensive tweets (NOT). The task appeared as Subtask-A in HASOC 2021. The dataset taken is sampled from Twitter. It consists of twitter posts in Hindi and Hinglish language.

A dataset containing hate speech in text form transcribed from Filipino Tiktok videos related to politics.

Dette repository indeholder kode og modelvægtene til Ha&te algortimen.

Hate Speech Analysis & Classification use Apache Storm