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Extract ranked key phrases from text with YAKE

Pulls the top key phrases from a short sample text with YAKE and gives each one a score. The extraction runs inside the actor and no text goes to an outside service. Swap in your own texts, web pages or dataset fields, or switch the method to RAKE.

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Keyword Extractor: key phrases from text and pages (YAKE, RAKE)
Keyword Extractor: key phrases from text and pages (YAKE, RAKE)examsens.ai/keyword-extractor
#
ID
Analyzed
Language
+3 fields
Text
Number
Boolean
List
Object

Input

Texts:Solar panels convert sunlight into electricity. Rooftop solar panels cut household energy bills, and battery storage keeps the lights on after sunset. Installers size each solar system to the roof area and the household's daily energy use.
Method:yake

Output fields

#
ID
Analyzed
Language
Words
Top keywords
Error

How it works

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The Keyword Extractor: key phrases from text and pages (YAKE, RAKE) Actor is ready to run with the inputs already set for "Extract ranked key phrases from text with YAKE". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Extract ranked key phrases from text with YAKE" task

The Keyword Extractor: key phrases from text and pages (YAKE, RAKE) Actor will start running based on the input automatically. You can also change all the input fields, like texts and method, to match your specific use case.

Receive the "Extract ranked key phrases from text with YAKE" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as #, ID, analyzed, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Extract ranked key phrases from text with YAKE" task via API.

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