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Apply Social Voice Personality Model to Vital4 Adverse Media

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Social Voice Personality Model

Analyzes the content of the video or audio transcription and returns values corresponding to different Myers–Briggs Type Indicators.

About Vital4 Adverse Media

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 Social Voice Personality Model to Vital4 Adverse Media with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Vital4 Adverse Media

For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.

Step 2

Add Social Voice Personality Model with an Operation

Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.

Step 3

That's it! You have just connected  Social Voice Personality Model and Vital4 Adverse Media

Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

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