Typo Correction in Domain-Specific Texts Using FastText
Ahmet Tuğrul Bayrak, Bekir Berker Türker · 2020 Innovations in Intelligent Systems and Applications Conference (ASYU) · 2020
Analyzing 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.