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Enrich Open Measures Odnoklassniki with Social Voice Personality Model
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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 Personality Model
Analyzes the content of the video or audio transcription and returns values corresponding to different Myers–Briggs Type Indicators.
Quickly enrich Open Measures Odnoklassniki with Social Voice Personality Model with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Odnoklassniki
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Step 2
Add Social Voice Personality Model 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 Personality Model
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.