Key Phrase Extraction

Key Phrase Extraction models are used for:

• Speech recognition

• Identifying critical terms or phrases in text

• Image classification

• Weather prediction

What is the main goal of a Key Phrase Extraction model?

• Summarizing text
  

• Removing stop words from text

• Identifying and extracting important phrases from text

• Translating text from one language to another

Key Phrase Extraction is considered a:

• Supervised learning task

• Natural language processing task

• Classification task

• Regression task

Key Phrase Extraction models can be used to:

• Calculate the average word length in a document

• Detect the language of a text

• Automatically generate titles for articles
  

• Identify and extract significant terms or phrases from text

How can Key Phrase Extraction models be applied in a business context?

• Identifying celebrities in images

• Summarizing long documents

• Extracting essential terms from customer reviews

• Forecasting sales trends

Which of the following is NOT a common application of Key Phrase Extraction?

• Search engine optimization

• Text summarization

• Image recognition

• Content tagging

Key Phrase Extraction can be used to assist in which of the following tasks?

• Identifying colors in images

• Categorizing emails

• Calculating mathematical equations

• Converting currencies

How are extracted key phrases typically presented in the output of a Key Phrase Extraction model?

• As images

• As a list or array of phrases

• As a single summarized sentence

• They are not typically presented in the output.

What is the main benefit of using Key Phrase Extraction in information retrieval systems?

• Increasing the speed of information retrieval
• Identifying important and relevant phrases or keywords
• Improving the accuracy of search results
• Reducing the amount of storage required