One Hot Encoding Table Of Contents: What Is One Hot Encoding? What Is Categorical Text Data? Example Of One Hot Encoding. Pros & Cons Of One Hot Encoding. (1) What Is One Hot Encoding? One-hot encoding is a feature extraction technique commonly used in Natural Language Processing (NLP) to represent categorical text data in a numerical format. It is a simple yet effective method for encoding categorical variables, including words, into a format that machine learning algorithms can use. Categorical text data refers to text data that can be divided into distinct categories or classes, where each piece of text

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