Custom classifiers to detect sexist language.

Code for EXIST 2025 Task 1.1, 1.2 and 1.3

Explainable Machine Learning in Linguistics and Applied NLP: Two Case Studies of Norwegian Dialectometry and Sexism Detection in French Tweets

Analyze user comments through Natural Language Processing (NLP) techniques and Analyze sexism dataset

Ghast farming addon for Meteor Client

Human Language Technologies (HLT) project. Computer Science Master Degree, University of Pisa. A.Y 2023/2024

Natural Language Processing for Sexism Detection

Submission for SemEval 2023 Task 10 EDOS

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.

Solution using adversarial training for the explainable detection of sexism in social networks (EDOS) task as part of SEMEVAL 2023

Text classification with ngrams for Natural Language Processing case study @ Università degli Studi di Bari Aldo Moro, AY 2023/24

NLP deep evaluation of sexist tweets w/ both LSTMs and Transformer-based LLMs fine-tuning.

Assignments in the realm of Natural Language Processing for Sexism Detection, developed as part of the NLP course at the University of Bologna.

Benchmark tool aimed at evaluating biases of large language models

Bengali Misogyny Identification with Deep Learning and LIME.

Transformer-based sexism detection in Spanish tweets

Generated a dataset, built a hybrid model, and deployed a browser extension for K-Pop Sexism Detection

Sexism Detection in Tweets using BiLSTM + GloVe and RoBERTa. Preprocessing, training, evaluation, and error analysis included.

Exploring different state-of-the-art machine learning and deep learning techniques for binary classification of sexist sentences for Machine Learning exam @ Università degli Studi di Bari Aldo Moro, AY 2023/24

Hackathon for an NLP task involving sexism classification

Notebooks and papers of the Penta ML and NLP teams in the Exist 2024 challenge at CLEF 2024

Task 10: Explainable Detection of Online Sexism

NLP assignments about creating a sexism classifier with different approaches.

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.

Smashing Sexism: Overcoming Bias in a Cross-Domain 5-Point Classification Challenge