Researcher, CONICET, ICC (UBA/CONICET) – Professor at Master in Data Mining, UBA (NLP course)
Mail: ealtszyler at dc uba ar
Edgar Altszyler received his Ph.D. in Physics from the University of Buenos Aires (UBA), and his BSc and MSc in Physics from the Balseiro Institute. He is currently a researcher at the ICC Institute (CONICET) and Professor of Natural Language Processing (NLP) in the Master’s Degree in Data Mining at the UBA. His research focuses on the application of NLP and AI techniques to the study of social and cultural behavior, psychology and mental health.
- Quantitative methods for bias detection in texts
- NLP & AI applied to mental health
- Large-scale quantitative analysis of cultural trends in large volumes of text
- Word-embeddings topology
- Data Science applied to Public Health
Link to my Google Scholar
Selection of articles
- Valentini, F., Rosati, G., Blasi, D., Slezak, D. F., & Altszyler, E. (2021). On the interpretation and significance of bias metrics in texts: a PMI-based approach. arXiv preprint arXiv:2104.06474
- Gálvez, R. H., Tiffenberg, V., & Altszyler, E. (2019). Half a century of stereotyping associations between gender and intellectual ability in films. Sex Roles, 81(9), 643-654.
- Altszyler, E., Ribeiro, S., Sigman, M., & Slezak, D. F. (2017). The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text. Consciousness and cognition, 56, 178-187
First place in the CLPsych shared task 2017: detection of posts with suicidal ideation and urgent posts in a mental health social network