MIND

OCTIS

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

SemEval2022-Task-5-Multimedia-Automatic-Misogyny-Identification-MAMI-

SemEval 2022 Task 5: Multimedia Automatic Misogyny Identification - baseline models and dataset

Constrained-RTM

Constrained Relational Topic Models that use potential functions to incorporate label knowledge in the form of document constraints

MEME

MEME benchmark dataset for misogyny detection

DAGE

Deep Attributed Graph Embedding

EC-RTM

Entity Constrained Latent Dirichlet Allocation (EC-LDA) and Entity Relational Topic Models (EC-RTM) and other tools

Unrevealing-Disagreement-Constituents-in-Hateful-Speech

Debiasing-Misogynous-Meme-Recognition-Systems

unintended-bias-misogyny-detection

Unintended Bias in Misogyny Detection

Automatic-Misogyny-Identification

Official repository of AMI, the shared task on Automatic Misogyny Identification at Evalita 2018

Bias-Mitigation-in-Misogynous-Meme-Recognition

CAGE

dragonfly

An open source python library for scalable Bayesian optimisation.

Misogynous-N-Gram-Lists

MVSC

Multi-View Sentiment Corpus (EACL 2017): tweets labelled by three annotators with sentiment, emotion, irony, subjectivity and implicitness

Raman-Spectra-Data

SemEval2023-LWD

DrivingIntoUncertainty

FictionalCharacterIdentification

LatinProdLDA