Advanced Data-Driven Text Mining

4 credits

Unsupervised, weakly supervised, and distantly supervised methods for text mining problems, including information retrieval, open-domain information extraction, text summarization (both extractive and generative), and knowledge graph construction. Bootstrapping, comparative analysis, learning from seed words and existing knowledge bases will be the key methodologies. Prerequisites: none. Restricted to DSC-MS-001 and DSC-PhD-001 students.