Text matching is a process used in various fields, including natural language processing and information retrieval, to identify similarities between different pieces of text. This technique can help in tasks such as document comparison, plagiarism detection, and search engine optimization. By analyzing the content, structure, and context of the text, algorithms can determine how closely related two texts are. In text matching, methods like keyword matching, semantic analysis, and machine learning are often employed. These approaches can range from simple string comparisons to more complex models that understand the meaning behind words. Effective text matching enhances the accuracy of search results and improves user experience in applications like chatbots and recommendation systems.