Question: A document - term matrix ( DTM ) represents a numeric / quantitative dataset that is used in NLP for the following purpose ( only

A document-term matrix (DTM) represents a numeric/quantitative dataset that is used in NLP for the following purpose (only one answer is true):
To clean up the corpus of texts through stemming and lemmatization.
To show the word/term frequencies for each text in the corpus.
To sample the corpus for Gibbs sampling in topic modeling.
To train the data for speech recognition.

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