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Apply Datastreamer Spam Detection Classifier to Open Measures Telegram
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 Open Measures Telegram
A specialized Telegram product focused on collecting users and channel content associated with the Russian state, Russian-affiliated propaganda, white nationalist groups, and European far-right organizations.
Quickly apply Datastreamer Spam Detection Classifier to Open Measures Telegram with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures Telegram
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Datastreamer Spam Detection Classifier with an Operation
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Step 3
That's it! You have just connected Datastreamer Spam Detection Classifier and Open Measures Telegram
Datastreamer transforms how you use web data. Grow your Pipelines without disruption and finally streamline the operational side of your workflow.