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This lecture discusses texture categorization, an essential technique for text data mining and analytics. It is crucial for discovering various types of knowledge, including topic mining, opinion mining, sentiment analysis, and text-based prediction. Analyzing text data based on predefined topics is crucial for mining and analysis. Categorizing authors based on the content they produce helps understand their perspective. Text categorization techniques can also be utilized to predict variables in the real world that are indirectly related to text data. Overall, texture categorization is a vital technique in text mining and analytics.
