👉 Concordance math is a method used in natural language processing (NLP) to measure the similarity between two text segments by counting how many times their terms overlap. Specifically, it involves creating a matrix where each cell (i, j) represents the number of times the i-th term in the first text appears in the j-th position of the second text. The similarity score is then derived from this matrix, often using a dot product or other aggregation methods, to quantify how closely the two texts align in terms of their vocabulary and context. This approach is particularly useful for tasks like plagiarism detection, document comparison, and semantic similarity assessment, providing a numerical measure that reflects the degree of textual overlap and coherence.
