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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.
Spanning a diverse range of video platforms, including YouTube, Dailymotion, AcFun, Vimeo, Rumble, BiliBili, and more, this dataset delivers insights into viral trends, viewer engagement, and content strategies. It provides an in-depth understanding of what captures audience attention and drives video content trends. Perfect for media analysis, content strategy development, and exploring the influence of visual media on public opinion.
How Datastreamer works
Quickly apply Datastreamer AI Brand Recognition Classifier to Socialgist Videos with a Datstreamer Pipeline.
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Make your web data work harder. With Datastreamer, you can enrich, filter, join, structure, store, or search data effortlessly using hundreds of out-of-the-box operations.
Web data, unlocked. Datastreamer empowers you to expand your Pipelines as needed while removing friction from your operations.
Add Datastreamer components to your data stack and explore its full capabilities
