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The document discusses the K-Nearest Neighbors (KNN) algorithm, a popular machine learning technique used in Natural Language Processing (NLP) for data classification. It outlines the steps involved in the KNN process, including determining the value of K, calculating distances, selecting nearest neighbors, and classifying new data points. Additionally, it highlights various applications of KNN in NLP such as sentiment analysis, text classification, and machine translation, along with its advantages and dis

Author
nazimsattar
Language
EN

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