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Apply Datastreamer User Sentiment Classifier to Vetric eCommerce Product Listings
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 Vetric eCommerce Product Listings
Collect and extract eCommerce platform's product information using URLs or ASIN. Return matching product info that include the product's title, media, seller, brand, rating, category, labels, descriptions, variants, price, stock status, reviews and shipping options.
Quickly apply Datastreamer User Sentiment Classifier to Vetric eCommerce Product Listings with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Vetric eCommerce Product Listings
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Step 2
Add Datastreamer User Sentiment Classifier with an Operation
Ready to move fast with web data? Datastreamer offers a full suite of operations—augment, join, store, filter, and more—so you can transform raw data into real insights instantly.
Step 3
That's it! You have just connected Datastreamer User Sentiment Classifier and Vetric eCommerce Product Listings
No more hassle with web data. Datastreamer allows you to boost your Pipelines on demand and tackle previously difficult operational issues head-on.