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This lecture focuses on texture categorization, an important technique for text data mining and analytics. It helps in discovering knowledge related to topic mining, opinion mining, and sentiment analysis by analyzing text data based on predefined topics. Categorizing authors based on their content, predicting variables in the real world using text data, and understanding human behavior through text are key aspects of texture categorization.
