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Enrich Socialgist Disqus with Tisane Entity Extraction
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Socialgist Disqus
A live firehose feed of Disqus news comments provided by Socialgist.
About Tisane Entity Extraction
Detect mentions of people, organizations, locations, filenames, phone numbers, crypto addresses, and more.
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:
Quickly enrich Socialgist Disqus with Tisane Entity Extraction with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Disqus
Web data is an essential component of enterprise data pipelines, enabling organizations to integrate structured and unstructured data from partner APIs, legacy systems, and public web sources.
Step 2
Add Tisane Entity Extraction to enrich
Supercharge your data pipeline! Apply operations like enrichment, structuring, joining, and filtering—Datastreamer gives you instant access to hundreds of plug-and-play data tools.
Step 3
That's it! You have just connected Socialgist Disqus and Tisane Entity Extraction
Say goodbye to bottlenecks. Datastreamer lets you unlock the full power of web data by giving you the tools to dynamically grow your Pipelines.