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Apply Tisane Entity Extraction to Open Measures VK
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How Datastreamer works
Quickly apply Tisane Entity Extraction to Open Measures VK with a Datstreamer Pipeline.
Quickly connect Tisane Entity Extraction and Open Measures VK with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Open Measures VK
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 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 Entity Extraction and Open Measures VK
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.
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
About Open Measures VK
A targeted VK crawling product focused on collecting all of the posts, comments, images and videos posted on the maintained seed list.
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