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Enrich Bright Data Google Search with Tisane Topic Extraction
Top companies trust Datastreamer to integrate, enrich, join, and apply their web data needs.
About Bright Data Google Search
Extract data about search results, images, news articles, maps, and more from google.com.
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 enrich Bright Data Google Search with Tisane Topic Extraction with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Bright Data Google Search
In modern enterprise architecture, web data fuels integration pipelines by bridging internal systems with external data sources such as partner networks and publicly accessible web content.
Step 2
Add Tisane Topic Extraction to enrich
Want to do more with your web data? Datastreamer offers hundreds of ready-to-use operations—filter, join, enrich, search, and more—to help you process and transform data at speed.
Step 3
That's it! You have just connected Bright Data Google Search and Tisane Topic Extraction
With Datastreamer, web data integration is effortless. Add new capabilities to your Pipelines dynamically and solve the operational issues that used to complicate your process.