text similarity analysis

Text similarity analysis is a process that measures how much two pieces of text are alike. It looks at factors like shared words, meanings, and structure to determine if they are similar or related. This helps in tasks such as finding duplicate content, matching customer questions, or organizing information efficiently. Essentially, it uses algorithms to quantify the level of resemblance between texts, enabling computers to understand relationships between different written materials in a meaningful way.