New text mining tools along with access to large volumes of text open a new opportunity to the study of the human mind. In the presentation, I will discuss the application of NLP techniques for the study and modeling of cognition at two different scales: the individual and the collective. In the first one, I will revisit and talk about the use of LSA for modelling children's vocabulary acquisition, and in the second, I will present an example of the use of PPMI for capturing gender stereotypes in films subtitles.
Dr. Edgar Altszyler is researcher at the Applied Artificial Intelligence Lab of the University of Buenos Aires, where he is also associate professor at the Data Mining Master’s Program. Edgar has an interdisciplinary background as he completed his PhD in Physics at the University of Buenos Aires, and worked as a postdoctoral fellow in NLP at the Applied Artificial Intelligence Lab. His research interests are at the intersection of natural language processing, mathematical modeling, social sciences and neuroscience. He is also consultor for the data science program at Sadosky Foundation, with the goal of promoting and advising the application of AI for the Argentinian Government and non-profit organizations.