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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:
    • offset
    • length
    • sentence_index
    • text
  • wikidata - a Wikidata ID, if exists

How Datastreamer works

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.

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]

We look forward to connecting with you.

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