Cosine similarity is denoted by Cos θ, and cosine distance is given by 1- Cos θ. The cosine similarity value ranges from −1 to 1 (inclusive). The value of -1 indicates exactly the opposite, 1 indicates the same, 0 indicates orthogonality or decorrelation, and all other values indicate intermediate similarity or dissimilarity. String Similarity Tool. This tool uses fuzzy comparisons functions between strings. It is derived from GNU diff and analyze.c.. The basic algorithm is described in: "An O(ND) Difference Algorithm and its Variations", Eugene Myers; the basic algorithm was independently discovered as described in: "Algorithms for Approximate String Matching", E. Ukkonen.

from sklearn.metrics.pairwise import cosine_similarity cosine_similarity(tfidf_matrix[0:1], tfidf_matrix) array([[ 1. , 0.36651513, 0.52305744, 0.13448867]]) The tfidf_matrix[0:1] is the Scipy operation to get the first row of the sparse matrix and the resulting array is the Cosine Similarity between the first document with all documents in the ...

## K99 impact score

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