The `inverse_transform` function of the `TfidfVectorizer` class in the Python sklearn library is used to convert the matrix representation of the TF-IDF (Term Frequency-Inverse Document Frequency) vectors back into a collection of text documents. It takes in the TF-IDF matrix as input and returns a list of text documents, where each document is represented as a string. This function is useful when we want to convert the numerical representation of the TF-IDF vectors back into their original text form for further analysis or interpretation.
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