Spearman Rank Correlation Explained | Evaluating Semantic Similarity in NLP

In this video, we explore Spearman Rank Correlation, a statistical method widely used to evaluate semantic similarity in Natural Language Processing (NLP). When working with language models, search systems, or text similarity algorithms, it becomes important to compare how machines rank information compared to human judgment. Spearman Rank Correlation helps solve this problem by focusing on ranking patterns instead of raw numerical scores. Instead of comparing exact similarity values, this method measures how closely the order of items predicted by a system matches the order created by humans…