sexism-detection
Here are 17 public repositories matching this topic...
Custom classifiers to detect sexist language.
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Feb 11, 2021 - Jupyter Notebook
Analyze user comments through Natural Language Processing (NLP) techniques and Analyze sexism dataset
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Jan 30, 2024 - Jupyter Notebook
Explainable Machine Learning in Linguistics and Applied NLP: Two Case Studies of Norwegian Dialectometry and Sexism Detection in French Tweets
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Feb 15, 2022 - Python
Ghast farming addon for Meteor Client
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Feb 11, 2024 - Java
The project focuses on identifying signs of sexism in texts through three tasks: identifying sexism, categorizing sexism, and sub-categorizing sexism. The best model used for completing these tasks is RoBERTa pre-trained on hate speech with the addition of data augmentation and learning rate scheduler techniques.
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May 5, 2023 - Jupyter Notebook
Submission for SemEval 2023 Task 10 EDOS
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Dec 26, 2022 - Python
A terminal based game about privileges. Build in the context of the Basic Programming M2 course at Systax Institute.
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Jun 23, 2023 - Kotlin
Solution using adversarial training for the explainable detection of sexism in social networks (EDOS) task as part of SEMEVAL 2023
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Jun 14, 2024
Human Language Technologies (HLT) project. Computer Science Master Degree, University of Pisa. A.Y 2023/2024
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Jul 2, 2024 - Jupyter Notebook
Task 10: Explainable Detection of Online Sexism
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Apr 16, 2023 - Jupyter Notebook
Bengali Misogyny Identification with Deep Learning and LIME.
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Feb 8, 2024 - Jupyter Notebook
Benchmark tool aimed at evaluating biases of large language models
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Feb 8, 2024
Hackathon for an NLP task involving sexism classification
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Feb 25, 2024 - Jupyter Notebook
Smashing Sexism: Overcoming Bias in a Cross-Domain 5-Point Classification Challenge
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Aug 27, 2023 - Python
Text classification with ngrams for Natural Language Processing case study @ Università degli Studi di Bari Aldo Moro, AY 2023/24
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Jul 20, 2024 - Jupyter Notebook
This project is an individual task as a part of the coursework from CSE712: Symbolic Machine Learning-II. Here I applied a neural network approach to address the task of detecting online sexism. Specifically, by utilizing natural language processing (NLP) methods to analyze textual data and build predictive models.
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Sep 16, 2024 - Jupyter Notebook
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