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Enrich Open Measures Odnoklassniki with Social Voice Toxicity 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 Social Voice Toxicity Classifier
Determines metrics on different toxic elements which may be present in the transcription.
Quickly enrich Open Measures Odnoklassniki with Social Voice Toxicity Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Odnoklassniki
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 Social Voice Toxicity Classifier 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 Toxicity Classifier
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.