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Enrich Socialgist News with Datastreamer Category Classifier
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About Socialgist News
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.
About Datastreamer Category Classifier
Categorize text into predefined media topics. This classifier can process text from various sources such as news articles, blogs, and social media posts. It helps identify the dominant theme of the content making it easier to organize and analyze large volumes of data. It also support multiple languages, making it adaptable for global markets, and can operate in real-time or batch-processing scenarios.
Quickly enrich Socialgist News with Datastreamer Category Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist News
Enterprise-grade data pipelines begin with flexible data ingestion. Web data—sourced from partners, internal platforms, or the open internet—provides the raw inputs needed for integration and transformation.
Step 2
Add Datastreamer Category Classifier to enrich
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Step 3
That's it! You have just connected Socialgist News and Datastreamer Category Classifier
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.