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Apply Datastreamer Sentiment Classifier to Socialgist News
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Sentiment Classifier
Detect sentiment in content, detecting and classifying into positive, neutral, or negative.
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.
Quickly apply Datastreamer Sentiment Classifier to Socialgist News with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist News
Web data is a critical input for enterprise data integration pipelines. Organizations can ingest data from multiple sources—including our partner network, internal enterprise systems, and publicly available web data—to create a unified, scalable data infrastructure.
Step 2
Add Datastreamer Sentiment Classifier with an Operation
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 Datastreamer Sentiment Classifier and Socialgist News
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.