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Apply Social Voice Tonality Classifier to Open Measures Odnoklassniki

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

About Social Voice Tonality Classifier

Determines if the tone of the transcription is more personal or corporate.

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.

How Datastreamer works

Quickly apply Social Voice Tonality Classifier to Open Measures Odnoklassniki with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Open Measures Odnoklassniki

Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.

Step 2

Add Social Voice Tonality Classifier with an Operation

Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.

Step 3

That's it! You have just connected  Social Voice Tonality Classifier and Open Measures Odnoklassniki

Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!