Text Analytics Data Science Sentence Similarity Model
Description
The Text Analytics capability employs machine learning and data graphing techniques to identify patterns that may indicate potential fraud, national security, and/or public safety concerns by scanning the digitized narrative sections of the associated applications and looking for common language patterns.
Detailed example
Text Analytics does not make predictions, recommendations, or decisions. It is merely a research tool that identifies potential patterns, while remaining agnostic as to whether those patterns identify potential fraud, national security, and/or public safety concerns. Instead, trained staff evaluate the patterns to determine whether they identify potential concerns and then validate and/or invalidate those potential concerns through the course of their investigations or adjudications.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Text Analytics augments the tedious and time-consuming manual process to identify potential fraud, national security, and/or public safety concerns and enables the identification of such concerns across jurisdictional boundaries. It increases the integrity of immigration programs, strengthens officers’ confidence in their work, and contributes to the reduction in customer wait times.
Controls / human review
ATO: Yes; PIA: https://www.dhs.gov/publication/dhsuscispia-085-pangaea-pangaea-text
Data needed
Text Analytics stores information extracted from benefit forms and supporting documents, focusing on the narrative portions of those documents.