Applied Natural Language Processing

Catalog description

This course provides a survey of the concepts, challenges, and methodologies employed in Natural Language Processing (NLP) using real-world projects. The growth of unstructured data has been primarily driven by the textual data. Hence, understanding how to extract actionable insights ethically from text is critical for organizations. The course covers basic natural language processing techniques, document representation, text categorization and clustering, document summarization, sentiment analysis, and social media analysis, and other topics.