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Keyword extraction

The Extract Keywords operation identifies and extracts a set of keywords that best describe each input text.

Zafer Çavdar avatar
Written by Zafer Çavdar
Updated over a week ago

Keywords: keyword extraction, TextRank

While the Tokenize & Tag operation splits the text into words and phrases, Extract Keywords extracts the words that best describe a text.

Step-by-step guide

1. Open the operation configuration window

Select the field with the text that you want to extract keywords from and click the "Add operation" button at the top of the workspace.

Search for "Extract Keywords" or find the operation under "Content extraction" and click it.

2. Name the output field

Under "Output field name", type the name of the output field.

3. Specify the method

Under "Method", select the method to be used to calculate the most important words. There are two options:

  • TextRank is equivalent to PageRank and measures a word's eigenvector centrality in word co-occurrence networks. Words that co-occur with other central words get a high Text Rank score.

  • Montemurro and Zanette entropy is especially useful for text with more than a thousand words. It uses information theory to identify words with a large contribution to the overall information in the text. The method is described in this paper.

4. Specify the number of keywords to be extracted

Under "Number of keywords", type the number of keywords that you want to extract from each text.

5. Apply the operation

Click "Apply" to run the operation. The extracted keyword collections are inserted into the output field.

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