Curious about knowledge mining in AI? Understand how it extracts valuable insights from unstructured data and why it’s crucial for artificial intelligence.
Table of Contents
Question
What is the main PRIMARY function of knowledge mining in artificial intelligence?
A. Recognizing individuals based on specific traits
B. Dividing an image into segments based on certain characteristics
C. Finding information in unstructured data
D. Categorizing text based on the emotions expressed
Answer
C. Finding information in unstructured data
Explanation
The primary function of knowledge mining in artificial intelligence is finding information in unstructured data. It aims to discover and extract valuable information from unstructured data, making it searchable and accessible.
Categorizing text based on the emotions expressed is not the primary function of knowledge mining in artificial intelligence. Emotion-based categorization is more aligned with sentiment analysis, which is a different AI task.
Dividing an image into segments based on certain characteristics is not the primary function of knowledge mining in artificial intelligence. This describes image segmentation, a task distinct from the main goal of knowledge mining.
Recognizing individuals based on specific traits is not the primary function l of knowledge mining in artificial intelligence. Recognizing individuals is associated with facial recognition and is not the primary goal of knowledge mining.
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