Text Similarity refers to the process of determining how alike two pieces of text are. This can involve comparing words, phrases, or overall meanings to assess their degree of similarity. Techniques such as cosine similarity, Jaccard index, and semantic analysis are often used to quantify this relationship. Applications of text similarity include search engines, where it helps in retrieving relevant documents, and plagiarism detection, which identifies copied content. It is also useful in natural language processing tasks, such as chatbots and recommendation systems, to enhance user experience by providing relevant information.