We’re always happy with any other questions you might have. Send us an email at [email protected]
Apply Datastreamer Violence Classifier to Bright Data YouTube
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly apply Datastreamer Violence Classifier to Bright Data YouTube with a Datstreamer Pipeline.
Quickly connect Datastreamer Violence Classifier and Bright Data YouTube with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data YouTube
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 with an Operation
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Datastreamer Violence Classifier and Bright Data YouTube
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
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.
About Bright Data YouTube
Description
Collect and extract YouTube video and profile search results using keywords, and YouTube comments using URLs. Further refine the video and profile searches by start date and end date using additional parameters.
Experience Seamless Data Integration Yourself
Add Datastreamer components to your data stack and explore its full capabilities