Applied Natural Language Proc

Catalog description

This course covers the main topics necessary to learn about and apply Natural Language Processing (NLP) models and solutions. Topics include text structuring and representation, pre-processing, regular expressions, visualization, predictive and exploratory analysis of text with tasks such as Topic Modeling, Sentiment Analysis and Named Entity Recognition (NER), and challenges and ethics, among others.