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Apply Datastreamer Spam Detection Classifier to Data365 Facebook data
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 Facebook data
Collect and extract Facebook posts and profiles using hashtags and keywords. Data365 offers advanced capabilities for collecting Facebook data, helping you understand and popular themes, monitor emerging trends, and even identify potential threats.
Quickly apply Datastreamer Spam Detection Classifier to Data365 Facebook data with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Data365 Facebook data
Effective enterprise integration requires diverse data inputs. Web data—whether from partner ecosystems, proprietary systems, or public sources—offers the scale and flexibility needed to drive data pipelines.
Step 2
Add Datastreamer Spam Detection Classifier with an Operation
Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.
Step 3
That's it! You have just connected Datastreamer Spam Detection Classifier and Data365 Facebook data
Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.