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Enrich Open Measures RuTube with Datastreamer Entity Recognition
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Open Measures RuTube
Collect and extract video metadata and comments based on a seed set of video links.
About Datastreamer Entity Recognition
This Named Entity Recognition classifier helps reduce the noise in the query results. It extracts the named entity from a short-form English content. The output would cover three classes of entities: Persons, Organization, and Location.
Quickly enrich Open Measures RuTube with Datastreamer Entity Recognition with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures RuTube
For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.
Step 2
Add Datastreamer Entity Recognition to enrich
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Open Measures RuTube and Datastreamer Entity Recognition
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.