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Apply Tisane Topic Extraction to Bright Data Github Code
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About Tisane Topic Extraction
Find out the subjects the users are talking about. Classify content by topic. Intelligently deduce geographic region.
Super granular. Supports IPTC, IAB, and Wikidata IDs.
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.
Quickly apply Tisane Topic Extraction to Bright Data Github Code with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Github Code
For robust enterprise data integration, web data acts as a foundational source. It can be drawn from a variety of channels—including third-party partners, internal applications, and public web repositories.
Step 2
Add Tisane Topic Extraction with an Operation
Transform your web data at scale with Datastreamer. Whether you're enriching, storing, joining, or filtering, you'll find hundreds of ready-made operations to help you move fast.
Step 3
That's it! You have just connected Tisane Topic Extraction and Bright Data Github Code
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