2024-11-0920209781-7281-9136-210.1109/ASYU50717.2020.92598432-s2.0-85097946146https://dx.doi.org/10.1109/ASYU50717.2020.9259843https://hdl.handle.net/20.500.14288/12979Analyzing customer reviews are quite important for customer satisfaction. Customer reviews might contain spelling mistakes, which causes data pollution and decreases the efficiency of the analyzes. In this study, a domain-specific solution is proposed by using the data related to tourism. Even if there are several applications to correct typos in Turkish, domain-specific solutions are limited. Since a correction should be specific for the meaning of a typo, this study is required. For the study, a FastText model-oriented typo correction algorithm has been developed by using customer reviews in the tourism industry. The results are compared with a commonly used correction application and it is observed that the algorithm developed is more successful for correcting typos in tourism specific phrases.Optical character recognitionWritingConference proceedinghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097946146&doi=10.1109%2fASYU50717.2020.9259843&partnerID=40&md5=1e5ad614668bf4f74f8c26dcffaad9cb10412