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Apply Social Voice Brand Safety Model (GARM) to Socialgist Blogs
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About Social Voice Brand Safety Model (GARM)
Analyzes different risks to brand safety according to GARM categorizations.
About Socialgist Blogs
Aggregated content from over 2,000 Chinese blogs and over 200,000 diverse English blogs, capturing the pulse of conversations. From niche interest to mainstream topics, Socialgist dataset provides a window into the vast array of perspectives, trend and insights that blog uniquely offer. Harness this rich resource for nuanced understanding of public sentiment, emerging trends, and influential bloggers in various domains.
Quickly apply Social Voice Brand Safety Model (GARM) to Socialgist Blogs with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Blogs
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 Social Voice Brand Safety Model (GARM) with an Operation
Boost your web data capabilities by applying a wide range of operations—enrich, augment, join, structure, filter, store, search, and more. With Datastreamer, you get access to hundreds of plug-and-play tools to power your workflows.
Step 3
That's it! You have just connected Social Voice Brand Safety Model (GARM) and Socialgist Blogs
Datastreamer makes working with web data simpler than ever. Easily enhance your Pipelines with new features and finally eliminate the operational roadblocks that once held you back.