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Enrich Open Measures LBRY/Odysee with Tisane Entity Extraction

Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.

How Datastreamer works

Quickly enrich Open Measures LBRY/Odysee with Tisane Entity Extraction with a Datstreamer Pipeline.

Quickly connect Open Measures LBRY/Odysee and Tisane Entity Extraction with a Datstreamer Pipeline.

Step 1

Start your Pipeline with Open Measures LBRY/Odysee

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 Entity Extraction to enrich

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  Open Measures LBRY/Odysee and Tisane Entity Extraction

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.

About Open Measures LBRY/Odysee

Collect and extract videos, users and comments on LBRY/Odysee.

About Tisane Entity Extraction

Entities are elements of relevance or interest in the text. Tisane extracts both standard entities and those relevant to trust & safety/law enforcement applications.

Standard entities are names of people, their social roles, organizations, places, and so on. We also extract cryptocurrency addresses, bank accounts, credit card numbers, phone numbers, software package names, and more.

Every entity entry is an object made of:

  • type - the type of the entity
  • name - a standard name, if exists; otherwise, the string that was logged
  • subtypes - more detailed additional types
  • subtype - the first subtype (for backward compatibility purposes)
  • mentions - an array of all detected mentions, with:
    • offset
    • length
    • sentence_index
    • text
  • wikidata - a Wikidata ID, if exists

Experience Seamless Data Integration Yourself

Add Datastreamer components to your data stack and explore its full capabilities

Try it Now

Questions?

We’re always happy with any other questions you might have. Send us an email at [email protected]

Let us know if you're an existing customer or a new user, so we can help you get started!