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Apply Datastreamer Ingredient Detection Classifier to Socialgist Disqus
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 Socialgist Disqus
A live firehose feed of Disqus news comments provided by Socialgist.
Quickly apply Datastreamer Ingredient Detection Classifier to Socialgist Disqus with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Disqus
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Add Datastreamer Ingredient Detection Classifier with an Operation
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 Datastreamer Ingredient Detection Classifier and Socialgist Disqus
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.