Use this Keyword Extractor to find the most relevant keywords in your text. Get a list of top keywords based on relevancy.

Keyword Extractor

Purpose

The Keyword Extractor function in this web app is designed to extract the most relevant keywords from a given text input. This can help users identify the main topics or themes within the text.

Use Cases

• Analyzing a document to quickly identify key points
• Summarizing a large amount of text by focusing on the main keywords
• Improving search engine optimization by including relevant keywords in content

How to Use

1. Enter the text you want to analyze in the Text field.
2. Optionally, you can adjust the number of top keywords to extract by changing the value in the Top Keywords field.
3. Select the language of the text from the dropdown menu.
4. Click on the Extract Keywords button to generate the list of keywords.

Input Values

1. Text: The text input you want to analyze.
2. Top Keywords: The number of top keywords to extract (default is 20).
3. Language: The language of the text (default language is English).

Output Values

• Keyword: The extracted keyword from the text.
• Relevancy: The relevancy score of the keyword in the text.

Any other Instruction

• Make sure to provide a clear and concise text input for accurate keyword extraction.
• Experiment with different values for the number of top keywords to find the most relevant ones.

Code Analysis

The function uses the YAKE library to extract keywords from the input text based on relevancy scores. It then creates a DataFrame with two columns: Keyword and Relevancy, and returns this DataFrame as the output.

Technical Parameters

• text, top, language

Return Values

• DataFrame with columns Keyword and Relevancy

Example Expressions

You can use the following expressions to directly evaluate in a non-interactive manner using eval():

keywords('This is a sample text for keyword extraction.', top=10, language='en')
keywords('Another example text for testing keyword extraction.', top=15, language='en')

Click on Help icon to open the help page on a separate window.