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Apply Datastreamer Hard News Classifier to The Social Proxy SERP Datasets
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer Hard News Classifier
A text-based classifier that is designed to distinguish between factual, authoritative news from opinion-based content. It identifies hard news by focusing on fact-based and timely events, while soft news typically covers opinion or less critical topics. We can apply this component on any source of English News.
About The Social Proxy SERP Datasets
Scrape Search Engine Result Pages. Obtain real-time information from leading search engines such as Google, Baidu, Bing, and Yandex.
Quickly apply Datastreamer Hard News Classifier to The Social Proxy SERP Datasets with a Datstreamer Pipeline.
Step 1
Start your Pipeline with The Social Proxy SERP Datasets
Web data is the foundation of any pipeline. You can leverage a wide range of data sources to power your pipelines—whether it's data from our partner network, your internal systems, or any publicly available web data.
Step 2
Add Datastreamer Hard News Classifier with an Operation
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 Datastreamer Hard News Classifier and The Social Proxy SERP Datasets
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.