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]

Apply Datastreamer User Sentiment Classifier to WebSightLine Threads

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

About Datastreamer User Sentiment Classifier

Detect the user sentiment and cause of sentiment within content. It is able to process content in over 200+ languages. This classifier can instantly consume the content within a pipeline, optimize the content for speed and cost efficiency, and pass into LLM systems. Within the classifier, the LLM response is restructured, the post is augmented with the new metadata, and continues in the pipeline.

About WebSightLine Threads

Keyword-based search of dynamic Threads data.

How Datastreamer works

Quickly apply Datastreamer User Sentiment Classifier to WebSightLine Threads with a Datstreamer Pipeline.

Step 1

Start your Pipeline with WebSightLine Threads

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 User Sentiment Classifier with an Operation

Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.

Step 3

That's it! You have just connected  Datastreamer User Sentiment Classifier and WebSightLine Threads

Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.

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!