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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.

How Datastreamer works

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.

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.

Let us know if you're an existing customer or a new user, so we can help you get started!