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

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Questions?

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

Apply Datastreamer ESG Classifier to Twingly Reviews

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

How Datastreamer works

Quickly apply Datastreamer ESG Classifier to Twingly Reviews with a Datstreamer Pipeline.

Quickly connect Datastreamer ESG Classifier and Twingly Reviews with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Twingly Reviews

Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.

Step 2

Add Datastreamer ESG Classifier with an Operation

To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.

Step 3

That's it! You have just connected  Datastreamer ESG Classifier and Twingly Reviews

With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.

About Datastreamer ESG Classifier

Description

A text-based classifier that analyzes given content (preferably a long text content) and categorizes them according to Environmental, Social or Governance related events.

About Twingly Reviews

Twingly captures our 15 million reviews per month from all corners of the world.

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]

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