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

Enrich Data365 Facebook data with Datastreamer Violence Classifier

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

About Data365 Facebook data

Collect and extract Facebook posts and profiles using hashtags and keywords. Data365 offers advanced capabilities for collecting Facebook data, helping you understand and popular themes, monitor emerging trends, and even identify potential threats.

About Datastreamer Violence Classifier

Detect types of violence from an English short-form content. The output of the model would be one of these labels: 'No violence', 'Threat of physical violence', 'Reported violence' with a confidence score ranging from 0 to 1.

How Datastreamer works

Quickly enrich Data365 Facebook data with Datastreamer Violence Classifier with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Data365 Facebook data

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.

Step 2

Add Datastreamer Violence Classifier to enrich

Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.

Step 3

That's it! You have just connected  Data365 Facebook data and Datastreamer Violence Classifier

Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.

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.

Let us know if you're an existing customer or a new user, so we can help you get started!