Question: uppose you have tokenized the 'reviews' text data using the 'quanteda' package and created a Document-Feature Matrix (DFM) named 'dfm_reviews'. Which of the following code

uppose you have tokenized the 'reviews' text data using the 'quanteda' package and created a Document-Feature Matrix (DFM) named 'dfm_reviews'. Which of the following code snippets can be used to obtain a summary of the total feature counts for each document in 'dfm_reviews'? reviews <- c("I absolutely love this product. The design is sleek and it works perfectly!", "The shipping was fast, but the product itself is of poor quality and broke after a few days.", "This product is decent for the price, but there are better options available if you're willing to spend more.") library(quanteda) tokens_reviews <- quanteda::tokens(reviews) dfm_reviews <- dfm(tokens_reviews) a) row_sums(dfm_reviews) b) rowSums(dfm_reviews) c) row_sums(as.matrix(dfm_reviews)) d) row_Sums(as.matrix(dfm_reviews), na.rm = TRUE) Group of answer choices option a option b option d

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