ITGSS Certified Technical Associate: Project Management Practice Exam

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What does key phrase extraction in AI typically do?

  1. Reorganizes text for readability

  2. Identifies key phrases from text

  3. Generates summaries of documents

  4. Translates documents into different languages

The correct answer is: Identifies key phrases from text

Key phrase extraction in AI is specifically designed to identify important phrases and concepts within a body of text. This process involves analyzing the text's content to pinpoint specific words or groups of words that carry significant meaning or relevance to the central theme. The identified key phrases facilitate better understanding, indexing, and information retrieval, making this technique particularly valuable in various applications such as search engines, content categorization, and automated text analytics. This extraction aids in summarizing the overall content without needing full comprehension, providing a way to represent the text's core ideas efficiently. While reorganizing text for readability, generating summaries, and translating documents are valuable functionalities in their own rights, they do not encapsulate the primary function of key phrase extraction, which focuses solely on the identification of significant phrases within the text.

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