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Apply Social Voice Political Leaning Model to Socialgist Blogs
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About Social Voice Political Leaning Model
Determines the political leaning of the language used in the transcription.
About Socialgist Blogs
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.
Quickly apply Social Voice Political Leaning Model to Socialgist Blogs with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Blogs
Enterprise data pipelines are built on the continuous flow of web data, which can originate from partner networks, internal infrastructures, or any external digital source.
Step 2
Add Social Voice Political Leaning Model with an Operation
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.
Step 3
That's it! You have just connected Social Voice Political Leaning Model and Socialgist Blogs
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.