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Enrich Open Measures Odnoklassniki with Social Voice Brand Safety Model (GARM)
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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 Social Voice Brand Safety Model (GARM)
Analyzes different risks to brand safety according to GARM categorizations.
Quickly enrich Open Measures Odnoklassniki with Social Voice Brand Safety Model (GARM) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Odnoklassniki
To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.
Step 2
Add Social Voice Brand Safety Model (GARM) to enrich
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Step 3
That's it! You have just connected Open Measures Odnoklassniki and Social Voice Brand Safety Model (GARM)
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.