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Enrich Data365 X(Twitter) with Datastreamer Entity Recognition
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About Data365 X(Twitter)
Collect and extract Twitter (X) posts and profiles using keywords. Data365 offers advanced capabilities for collecting Twitter data, helping you understand and popular themes, monitor emerging trends, and even identify potential threats.
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 Data365 X(Twitter) with Datastreamer Entity Recognition with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Data365 X(Twitter)
Web data is the foundation of any pipeline. You can leverage a wide range of data sources to power your pipelines—whether it's data from our partner network, your internal systems, or any publicly available web data.
Step 2
Add Datastreamer Entity Recognition to enrich
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Step 3
That's it! You have just connected Data365 X(Twitter) and Datastreamer Entity Recognition
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.