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Apply Tisane Sentiment Analysis to Socialgist Blogs
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How Datastreamer works
Quickly apply Tisane Sentiment Analysis to Socialgist Blogs with a Datstreamer Pipeline.
Quickly connect Tisane Sentiment Analysis and Socialgist Blogs with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Blogs
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.
Step 2
Add Tisane Sentiment Analysis 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 Tisane Sentiment Analysis 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.
Sentiment analysis answers the question whether the author is positive or negative about something. Tisane sentiment analysis supports 35+ languages, including slang and obfuscated text.
About Socialgist Blogs
Description
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.
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