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Enrich Open Measures Odnoklassniki with Datastreamer Violence Classifier
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About Open Measures Odnoklassniki
Open Measures collection on OK(Odnoklassniki) began by aggregating around 5,000 OK group URLs that appeared across the existing collections and fed these into the crawler. The crawler then spiders across these groups by collecting posts, comments and group members.
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.
Quickly enrich Open Measures Odnoklassniki with Datastreamer Violence Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Odnoklassniki
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
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 Open Measures Odnoklassniki 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.