Natural Language Processing
Clustering is a machine learning technique used to group similar data points together based on their features or characteristics. This method is crucial in natural language processing (NLP) as it helps to identify patterns and relationships within large datasets, enabling tasks such as document classification, topic modeling, and information retrieval. By organizing data into clusters, it becomes easier to analyze and extract meaningful insights, which is essential for various NLP applications.
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