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Apply Datastreamer Intent Classifier to Vetric X(Twitter)
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly apply Datastreamer Intent Classifier to Vetric X(Twitter) with a Datstreamer Pipeline.
Quickly connect Datastreamer Intent Classifier and Vetric X(Twitter) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Vetric X(Twitter)
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 Datastreamer Intent Classifier 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 Datastreamer Intent Classifier and Vetric X(Twitter)
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.
About Vetric X(Twitter)
Description
Collect and extract recent X(Twitter) posts and replies using keywords or advanced query. Vetric X(Twitter) API is ideal for real-time monitoring of X, including use cases like threat intelligence, brand monitoring, digital risk protection, and social listening.
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