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Enrich Data365 X(Twitter) with Datastreamer Ingredient Detection Classifier

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

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.

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.

How Datastreamer works

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

Step 1

Start your Pipeline with Data365 X(Twitter)

Web data serves as the foundational input for any data pipeline. Pipelines can be powered by diverse data sources, including datasets from our partner ecosystem, proprietary internal systems, or any externally accessible web data.

Step 2

Add Datastreamer Ingredient Detection Classifier to enrich

Datastreamer lets you accelerate your data usage by applying operations like structuring, enriching, joining, and filtering—choose from hundreds of prebuilt, plug-and-play options.

Step 3

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

Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.

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!