Question: While creating a machine learning model on text data, you created a document term matrix of the input data of 1 0 0 K documents.

While creating a machine learning model on text data, you created a document term matrix of the input data of 100K documents. Which of the following remedies can be used to reduce the dimensions of data?
Latent Semantic Indexing
Keyword Normalization
Both "Latent Semantic Indexing" and "Keyword Normalization" can reduce the dimensions of data.
None of the options are correct.
While creating a machine learning model on text

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