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Let's suppose taht you are creating a document term matrix on the input dat of 100k documents for an ML model. Which of the following can be used to reduce the dimensions (dimension reduction of the data?)-Latent Dirichlet Allocations (LDA)-Latent Semantic Indexint (Analysis)-Named Entity Recognition (NER)-Keyword (text) Normalization-TF-IDF
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