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Enrich Data365 X(Twitter) with Datastreamer Entity Recognition

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

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.

 

How Datastreamer works

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.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

Let us know if you're an existing customer or a new user, so we can help you get started!