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Apply Datastreamer Spam Detection Classifier to Twingly Reviews
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Spam Detection Classifier
Detect and flag likely spam or fraudulent 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 Twingly Reviews
Twingly captures our 15 million reviews per month from all corners of the world.
Quickly apply Datastreamer Spam Detection Classifier to Twingly Reviews with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly Reviews
Web data plays a central role in enterprise data integration, serving as a primary input across pipelines. It can be sourced from partner networks, internal systems, or the open web to support scalable data workflows.
Step 2
Add Datastreamer Spam 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 Spam Detection Classifier and Twingly Reviews
Supercharge your data workflows with Datastreamer. Add flexibility to your Pipelines and put an end to the common bottlenecks in handling web data.