Text similarity is a measure of how closely two pieces of text resemble each other. It is usually determined by comparing the words and phrases used in each piece of text and calculating the degree to which they match. This comparison can be done using a variety of methods including cosine similarity, Levenshtein distance, and Jaccard index. Text similarity can be used to detect plagiarism in writing, to determine if two documents are related, and to cluster documents into topics.