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Apply Datastreamer Entity Recognition to Open Measures Truth Social
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
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.
About Open Measures Truth Social
A targeted Truth Social crawling product focused on collecting all posts, comments and user profiles on Truth Social.
Quickly apply Datastreamer Entity Recognition to Open Measures Truth Social with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Truth Social
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Step 2
Add Datastreamer Entity Recognition with an Operation
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 Datastreamer Entity Recognition and Open Measures Truth Social
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.