Revisiting the challenges and surveys in text similarity matching and detection methods

The massive amount of information from the internet has revolutionized field natural language processing. One challenges was estimating similarity between texts. This been an open research problem although various studies have proposed new methods over years. paper surveyed and traced primary in text similarity. aim to give a broad overview existing issues, applications, research. identified four issues several applications matching. It classified current based on intrinsic, extrinsic, hybrid approaches. Then, we them into lexical-similarity, syntactic-similarity, semantic-similarity, structural-similarity, hybrid. Furthermore, this study also analyzed discussed method improvement, limitations, topic for future directions.