The Canada Revenue Agency uses natural language processing to analyze high-volume textual data.
Internal auditors at the Canada Revenue Agency use natural language processing to analyze unstructured textual data such as interview notes, web articles, and text within documents. The technology automates the process of summarizing text, modeling and visualizing topics, and analyzing the sentiment within documents.
