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- A practical guide to SEC ï¬nancial reporting and disclosures for successful regulatory crowdfunding
- Quality shareholders versus transient investors: The alarming case of product recalls
- The Health Equity Accelerator at Boston Medical Center
- Monosha Biotech: Growth Challenges of a Social Enterprise Brand
- Assessing the Value of Unifying and De-duplicating Customer Data, Spreadsheet Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise, Data Supplement
- Building an AI First Snack Company: A Hands-on Generative AI Exercise
- Board Director Dilemmas: The Tradeoffs of Board Selection
- Barbie: Reviving a Cultural Icon at Mattel (Abridged)
- Happiness Capital: A Hundred-Year-Old Family Business's Quest to Create Happiness
An Introduction to AI for Text Mining: A Companion to the Evisort Case
內容大綱
AI-driven text mining, a relatively new business analytics tool, allows users to unlock troves of information contained in documents and make them searchable by content and metadata. The ability to analyze documents requires a number of intricate steps. First, optical character recognition must be used to convert a document image into machine-readable text. The text must then be converted to a format in which it can be analyzed. Finally, information must be extracted from the documents. This case takes students through some of the theory behind and examples of text analysis. This case is a companion to Evisort: An AI-Powered Start-up Uses Text Mining to Become Google for Contracts (Case ID: CU251)