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Apply Datastreamer AI Brand Recognition Classifier to Data365 X(Twitter)
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Datastreamer AI Brand Recognition Classifier
Detect and identify brand mentions within text. It processes content from sources like social media, articles, and customer feedback, providing insights into brand visibility. Supporting multiple languages, this classifier is adaptable for global applications and can operate in both real-time and batch-processing environments, making it valuable for tracking brand presence at scale.
About Data365 X(Twitter)
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.
Quickly apply Datastreamer AI Brand Recognition Classifier to 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 Datastreamer AI Brand Recognition Classifier with an Operation
Accelerate your web data workflows with Datastreamer. Whether it's enriching, joining, filtering, or storing your data, choose from hundreds of pre-built operations ready to deploy instantly.
Step 3
That's it! You have just connected Datastreamer AI Brand Recognition Classifier and Data365 X(Twitter)
Using web data has never been this easy—thanks to Datastreamer. Expand your Pipelines on the fly and overcome the workflow challenges that once slowed you down.