Calculate tf-idf with quanteda

Learn to calculate tf-idf with quanteda to identify important words in documents for improved text analysis.

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tf-idf with quanteda

The quanteda package calculates the tf-idf of a document-feature matrix using the dfm_tfidf() function. Term frequency-inverse document frequency is a ratio used to identify important words for a collection of documents. To calculate this ratio, quanteda provides dfm_tfidf() that calculates the term frequency-inverse document frequency (tf-idf of a document-feature matrix.

Here’s code to demonstrate the creation of tf-idf:

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