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Apply Datastreamer Sentiment Classifier to Twingly Blogs

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

About Datastreamer Sentiment Classifier

Detect sentiment in content, detecting and classifying into positive, neutral, or negative.

About Twingly Blogs

Twingly indexes 1 million blog posts per day, from all over the world, and make them available. Twingly adds 4,000 new active blogs every day, and if that is not enough, you can easily add more yourself, and we will cover them for you

How Datastreamer works

Quickly apply Datastreamer Sentiment Classifier to Twingly Blogs with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Twingly Blogs

To support enterprise-scale data integration, pipelines must ingest web data from varied origins, including trusted partners, internal databases, and external web-based assets.

Step 2

Add Datastreamer Sentiment Classifier with an Operation

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  Datastreamer Sentiment Classifier and Twingly Blogs

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!