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Enrich Socialgist News with Datastreamer Violence 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 Violence Classifier
Detect types of violence from an English short-form content. The output of the model would be one of these labels: 'No violence', 'Threat of physical violence', 'Reported violence' with a confidence score ranging from 0 to 1.
Quickly enrich Socialgist News with Datastreamer Violence Classifier with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist News
Scalable data integration in the enterprise depends on ingesting heterogeneous web data sources. These include data from internal systems, ecosystem partners, and the broader web.
Step 2
Add Datastreamer Violence Classifier to enrich
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Socialgist News and Datastreamer Violence Classifier
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.