70-498 Business Language Analytics: Mining Financial Texts and Graphs
9 units, Carnegie Mellon University
This course provides students with accounting concepts and tools to create structures in financial data and some hands-on experience in applying economic, statistical, and data- mining tools to analyze corporate business language, both text and numbers, used in formal documents written following specific accounting language rules. Accounting numbers: Accounting numbers such as those in published corporate financial statements obey a basic double-entry bookkeeping structure leading to a matrix or graph representation beyond the typical numerical data structure. After a basic introduction of using corporate financial data, much of the course covers the concepts and tools that process corporate accounting data using the graph representation. Accounting texts: While texts in accounting documents are written in natural language, they must obey regulatory disclosure requirements in both substance and form. The remaining part of the course shows students how data in text form from accounting disclosures such as annual reports can be examined systematically using textual analysis techniques to gain further insight and knowledge about firms and industries beyond those inferred from non-textual data.
Prerequisites: 70-122
Offered: Spring 2027, Fall 2025
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