ignacioct/temis

Temis is an Automatic Misogyny Identification tool. Using Deep Learning models, it can be used to predict whether a text contains misogyny, which type it is and to whom it is targetted.

¡Hola!👋 I'm Ignacio.

• 👋 I'm an NLP Engineer and Computer Science working at EY. I live, study, work, suffer the scorching summers and have fun in Madrid, Spain.
• 🧑🏼‍💻 I believe that we, the CS folks, should work towards enhancing human life. That's why I mainly focus on AI & Data Science, especially Deep Learning and Natural Language Processing.
• 🌱 And, outside of my computer, I love Liberal Arts and Humanities. I almost studied something along that line as my BSc! I have been lucky enough to be able to also educate myself in topics like Languages, Mythology, Anthropology, History and European Culture. That's why NLP was love at first sight.
• ✊🏽 Deep Learning and NLP are amazing tools to fight for social causes. During my BSc and my internship in Recognai, I worked on Misogyny Detection using Transformers. Thanks to a lot of amazing people, I made two theses on the topic, and I'm quite proud of them. You can check it out here and here.
• ☄️ Alongside my education, I've spent some time volunteering, focusing on empowering people. In UC3M, I have helped in Technovation Challenge, trying to help high school girls interested in STEM to learn the basics of programming. I was also an organizer at IT Camp for Piger in Aarhus Universitet, a three-day camp where young girls interested in CS can get a bite on what we study and meet some relevant women figures in the Danish industry and academia. I also write, translate and proofread for the Spanish edition of Last Week in Denmark, where we make it easy for the 11% of internationals in the country to read about what happens in Politics, Economy, Society, and Culture.
• 🌟 In my free time, I like to travel, hike, climb, write, read, run and discover new places.
• 📫 You can reach me via [email protected] ✉️ or LinkedIn 🤝.

temis's Issues

Migration from biome.text to Transformers

Get the models working on HuggingFace Transformers, if possible.