Applied Natural Language Processing

Catalog description

This course provides a survey of the concepts, challenges, and methodologies employed in Natural Language Processing (NLP). The growth of unstructured data has been primarily driven by the textual data. The course covers basic natural language processing techniques, document representation, text categorization, social media analysis, among others. Students will also learn how to use these methods ethically in the presentation and analysis and forthright appraisal of what can and cannot be achieved through these methods.