Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly apply Datastreamer Intent Classifier to Socialgist Blogs with a Datstreamer Pipeline.
Quickly connect Datastreamer Intent Classifier and Socialgist Blogs 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 analyzes media posts about future actions. It will detect whether the post intends to perform some action, such as purchasing or selling. This component can be used alongside other classifiers for smarter filtering.
Aggregated content from over 2,000 Chinese blogs and over 200,000 diverse English blogs, capturing the pulse of conversations. From niche interest to mainstream topics, Socialgist dataset provides a window into the vast array of perspectives, trend and insights that blog uniquely offer. Harness this rich resource for nuanced understanding of public sentiment, emerging trends, and influential bloggers in various domains.
Add Datastreamer components to your data stack and explore its full capabilities
