textual similarity detection

Textual similarity detection is a process that measures how closely two pieces of text resemble each other in meaning, structure, or wording. It involves analyzing words, phrases, and context to determine if the texts are related, similar, or potentially duplicates. This technique is used in applications like plagiarism detection, search engines, and data organization. It employs algorithms that examine linguistic patterns, semantic meaning, and sentence structure to produce a similarity score, helping computers understand the degree of relatedness between different texts efficiently.