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Enrich Webz Reviews with Datastreamer Entity Recognition

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

About Webz Reviews

Cover thousands of review in multiple languages from all over the globe, Webz Reviews dataset lets your machine listen to evert reviewer, everywhere.

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 Webz Reviews with Datastreamer Entity Recognition with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Webz Reviews

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

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  Webz Reviews 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.

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!