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Apply Datastreamer Product Detection Classifier to Socialgist News
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How Datastreamer works
Quickly apply Datastreamer Product Detection Classifier to Socialgist News with a Datstreamer Pipeline.
Quickly connect Datastreamer Product Detection Classifier and Socialgist News with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist News
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 Product Detection Classifier with an Operation
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Datastreamer Product Detection Classifier and Socialgist News
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
Detect products within content across 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 News
Description
Drawing from over 1,000 Chinese news sources and over 25,000 English news sources, Socialgist provides a comprehensive overview of current events, editorial opinions, and journalistic analysis. This dataset is invaluable for understanding media narratives, tracking news cycles, and analyzing the impact of current events on public discourse and sentiment across various regions and topics.
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