DSC 253Advanced Data-Driven Text Mining
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
From the catalog: “none. Restricted to DS75 and DS76 students.”