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Enrich Socialgist Quora with Tisane Topic Extraction
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
How Datastreamer works
Quickly enrich Socialgist Quora with Tisane Topic Extraction with a Datstreamer Pipeline.
Quickly connect Socialgist Quora and Tisane Topic Extraction with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Socialgist Quora
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 Topic 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 Socialgist Quora and Tisane Topic 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.
Collect and extract Quora content to identify trends, test theories, uncover sentiment and monitor your brand.
About Tisane Topic Extraction
Also known as: theme identification, subject detection, or key topic recognition. Topic extraction determines the dominant topics in the text.
Tisane provides the topics at a document level.
When a particular word has multiple interpretations, the sense of the word must be determined in the current context. For example, Jupiter is a planet and a Roman deity. Whether it's the planet or the deity, depends on the text.
For example, the sentence Juno is the wife of Jupiter refers to the deity. Tisane determines the relevant topics as Roman mythology, supernatural (gods), relationship, and family (since the spousal connection is mentioned).
There are common taxonomy standards that Tisane can provide::
native - native Tisane topic names; based on standard English terms for the topic. The default standard.