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Apply Datastreamer Ingredient Detection Classifier to Data365 X(Twitter)

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

About Datastreamer Ingredient Detection Classifier

Detect and classify ingredients used in products, including the fabrics, minerals and materials, 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 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.

How Datastreamer works

Quickly apply Datastreamer Ingredient Detection Classifier to Data365 X(Twitter) with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Data365 X(Twitter)

Enterprise pipelines rely on web data as a key input layer. Whether sourced from strategic partners, internal platforms, or public web endpoints, this data enables seamless integration across business systems.

Step 2

Add Datastreamer Ingredient Detection Classifier with an Operation

Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.

Step 3

That's it! You have just connected  Datastreamer Ingredient Detection Classifier and Data365 X(Twitter)

With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.

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!