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Quickly apply Datastreamer Entity Recognition to Vetric Instagram with a Datstreamer Pipeline.
Quickly connect Datastreamer Entity Recognition and Vetric Instagram with a Datstreamer Pipeline.
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.
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.
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.
This Named Entity Recognition classifier helps reduce the noise in the query results. It extracts the named entity from a short-form English content. The output would cover three classes of entities: Persons, Organization, and Location.
Multi-method collection of real-time Instagram data, including user feed, user reel, hashtag, hashtag feed, location feed, and more. Vetric Instagram API is ideal for market research, content curation, competitive intelligence, social media monitoring, analyzing live event promotions and influencer outreach.
Add Datastreamer components to your data stack and explore its full capabilities
