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How Datastreamer works
Quickly apply Datastreamer Hard News Classifier to The Social Proxy SERP Datasets with a Datstreamer Pipeline.
Quickly connect Datastreamer Hard News Classifier and The Social Proxy SERP Datasets with a Datstreamer Pipeline.
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
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.
Scrape Search Engine Result Pages. Obtain real-time information from leading search engines such as Google, Baidu, Bing, and Yandex.
Add Datastreamer components to your data stack and explore its full capabilities
