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Apply Datastreamer Spam Detection Classifier to Socialgist Boards

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 Socialgist Boards

Covering more than 200 popular Chinese message boards and forums, including baidu.com, hupu.com, and zhihu.com, and 3,000 English message boards and forums, Socialgist offers an unrivalled view into real-time discussions and community sentiments. This message boards dataset is goldmine for understanding consumer behaviour, tracking viral topics, and gaining insights into niche communities and broader public opinion.

How Datastreamer works

Quickly apply Datastreamer Spam Detection Classifier to Socialgist Boards with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Socialgist Boards

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

Datastreamer puts data control in your hands. Apply hundreds of operations—filter, enrich, structure, join, and beyond—to unlock the full value of your web data.

Step 3

That's it! You have just connected  Datastreamer Spam Detection Classifier and Socialgist Boards

Empower your data team with Datastreamer. Expand your web data Pipelines effortlessly and clear the operational hurdles that once limited your efficiency.

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

We look forward to connecting with you.

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