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Apply Datastreamer Spam Detection Classifier to Data365 X(Twitter)
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 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.
Quickly apply Datastreamer Spam Detection Classifier to Data365 X(Twitter) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Data365 X(Twitter)
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Step 2
Add Datastreamer Spam Detection Classifier with an Operation
Take your web data further. From enrichment to filtering and everything in between, Datastreamer’s vast library of operations helps you act on your data fast—with no coding required.
Step 3
That's it! You have just connected Datastreamer Spam Detection Classifier and Data365 X(Twitter)
Datastreamer takes the pain out of web data workflows. Seamlessly scale your Pipelines and resolve persistent operational challenges with ease.