Enhance Your AML Compliance Suite With Adverse Media Screening
Adverse media detection serves as an important early predictor for potential watchlist or sanctions listings, as media outlets can often identify risk with more agility than government or international watchdogs. Red flag behavior linked to money laundering, financial fraud, drug trafficking, human trafficking, risky finances, terrorism — and more — can be better identified and predicted with adverse media screening.
When it comes to knowing who you work with, early detection plays a big role in minimizing third-party risk and ensuring AML/KYC compliance. However, using analysts or legacy technologies to crawl millions of articles each day will never be feasible or cost-effective. That’s where we come in: Our AI-powered platform uses sentiment analysis, machine learning, and a proprietary negative keyword list to automatically filter through the noise and only find relevant data.
What is Sentiment Analysis?
Sentiment Analysis is an analytical technique that uses statistics, natural language processing, and machine learning to determine the emotional meaning of communications. The process computationally identifies and categorizes opinions expressed in a piece of text, especially to determine whether the writer’s attitude towards a particular topic, product, etc. is positive, negative, or neutral.