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Detect and classify the behaviours that a user is describing. In the detection of threats, product returns, activities, and other behaviours; the terms and keywords used to describe are not clear and specific. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.
Vital4 Adverse Media scans tens of thousands global media sources and millions of articles each day. Adverse media detection serves as important early predictor for potential watchlist or sanctions listings, as media outlets can often identify rish with more agility than government or international watchdogs. Red flag behaviour 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.
How Datastreamer works
Quickly apply Datastreamer User Behaviour Classifier to Vital4 Adverse Media with a Datstreamer Pipeline.
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.
Add Datastreamer components to your data stack and explore its full capabilities
