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Apply Datastreamer Sentiment Classifier to Open Measures Odnoklassniki
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Sentiment Classifier
Detect sentiment in content, detecting and classifying into positive, neutral, or negative.
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.
Quickly apply Datastreamer Sentiment 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 Datastreamer Sentiment Classifier with an Operation
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Step 3
That's it! You have just connected Datastreamer Sentiment Classifier and Open Measures Odnoklassniki
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.