# Pearson Correlation & Spearman Correlation **URL:** \ **Category:** Elasticsearch\ **Tags:** painless\ **Created:** [July 6, 2021, 4:33pm UTC](https://discuss.elastic.co/t/pearson-correlation-spearman-correlation/277984 "2021-07-06T16:33:32Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![Ahmed\_Elsheikh](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/ahmed_elsheikh/32/91250_2.png) [@Ahmed\_Elsheikh](https://discuss.elastic.co/u/Ahmed_Elsheikh)\ **Post date:** [July 6, 2021, 4:33pm UTC](https://discuss.elastic.co/t/pearson-correlation-spearman-correlation/277984/1 "2021-07-06T16:33:32Z")
Hello, I am new to ElasticSearch I am following [this tutorial](https://www.elastic.co/blog/text-similarity-search-with-vectors-in-elasticsearch) trying to implement Semantic Textual Similarity between a query and set of questions/documents in the Stackoverflow dataset. I found that Pearson/Spearman correlation are not pre-implemented in painless functions of ES, 1. How can I implement them in a custom query script? I am looking for guidance and/or code snippets 2. How can I sort the results `desc`? or are they sorted `desc` by default, I noticed they were already sorted `desc` 3. This is a general STS question, why most of the research paper showing their results in Pearson & Spearman Correlation, sometimes Cosine Similarity, while most of the online tutorials/materials have scores reported in Cosine Similarity? Does this mean for STS cosine similarity is better than the others? ---
**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\ **Post date:** [August 3, 2021, 4:34pm UTC](https://discuss.elastic.co/t/pearson-correlation-spearman-correlation/277984/2 "2021-08-03T16:34:16Z")
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