Recent improvements in computing power have rendered possible the application of textual analysis techniques in a wide range of corporate disclosures (financial statements, regulatory disclosures and filings, press articles, social media etc). The aim of this analysis is to answer questions such as can we extract intended and unintended sentiment from such disclosures in a way that will inform company valuation, can we train algorithms to analyze textual data before humans do, can we monitor social media for clues about investor sentiment etc? The course introduces students to a practical perspective on textual analysis techniques and their applications in finance and accounting settings. It also discusses some of the problems in interpreting results derived from the empirical examination of text data.