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Apply Tisane Abusive Content Detection to Data365 X(Twitter)
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How Datastreamer works
Quickly apply Tisane Abusive Content Detection to Data365 X(Twitter) with a Datstreamer Pipeline.
Quickly connect Tisane Abusive Content Detection and Data365 X(Twitter) with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Data365 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 Tisane Abusive Content Detection 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 Abusive Content Detection and Data365 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.
Automatice detection of abusive content in text, including insults and cyberbullying, hate speech, sexual advance, and more. Tisane abusive content detection supports 35+ languages, including slang and obfuscated text (adversarial text manipulation).
About Data365 X(Twitter)
Description
Collect and extract Twitter (X) posts and profiles using keywords. Data365 offers advanced capabilities for collecting Twitter data, helping you understand and popular themes, monitor emerging trends, and even identify potential threats.
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