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Enrich Open Measures Telegram with Datastreamer Entity Recognition
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Open Measures Telegram
A specialized Telegram product focused on collecting users and channel content associated with the Russian state, Russian-affiliated propaganda, white nationalist groups, and European far-right organizations.
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 Telegram with Datastreamer Entity Recognition with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Telegram
Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.
Step 2
Add Datastreamer Entity Recognition to enrich
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
Step 3
That's it! You have just connected Open Measures Telegram and Datastreamer Entity Recognition
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.