I want to run the standard TextRank algorithm on a quite large corpus (100,000 documents x 15+- sentences per document).

My purpose is text summarization. The standard implementation I am seeing popularized online (e.g., https://towardsdatascience.com/textrank-for-keyword-extraction-by-python-c0bae21bcec0) does not use a sparse matrix.

Can someone point me to a reliable sparse matrix implementation ?


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