Semantic Analysis

Semantic Analysis

Semantic Analysis in AML/CFT is about understanding the meaning and context of words within financial communications and transactions. This technology interprets the intent behind transactions, identifying those that might be structured to evade detection or linked to illicit activities. By analyzing the semantics of transaction descriptions, messages, and customer communications, semantic analysis provides a deeper understanding of customer behavior, aiding in the identification of suspicious activities often hidden in plain sight.

Semantic Analysis in AML/CFT involves the interpretation of the meaning and context of words and phrases in financial communications and transactions.

It goes beyond the simple detection of keywords to understand the nuances and subtleties of language.

This technology is particularly useful in analyzing the context of transactions and communications, providing insights into customer behavior and detecting suspicious narratives or justifications that may indicate money laundering or terrorist financing.

Use Cases:

  • Detecting Evasive Language: Identifying transactions accompanied by communication that uses evasive or non-committal language, often a sign of illicit activities.
  • Understanding Transaction Context: Analyzing the context of transaction descriptions to detect unusual patterns or justifications.
  • Enhanced Customer Profiling: Building a more comprehensive profile of customers by understanding the semantics of their communications and transaction descriptions.