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Typo correction in domain-specific texts using FastText

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dc.contributor.coauthorBayrak, Ahmet Tuğrul
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorTürker, Bekir Berker
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T23:38:44Z
dc.date.issued2020
dc.description.abstractAnalyzing 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.
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1109/ASYU50717.2020.9259843
dc.identifier.isbn9781-7281-9136-2
dc.identifier.scopus2-s2.0-85097946146
dc.identifier.urihttps://doi.org/10.1109/ASYU50717.2020.9259843
dc.identifier.urihttps://hdl.handle.net/20.500.14288/12979
dc.keywordsFastText
dc.keywordsText normalization
dc.keywordsTypo correction Intelligent systems
dc.keywordsLeisure industry
dc.keywordsSales
dc.keywordsTourism
dc.keywordsCorrection algorithms
dc.keywordsCustomer review
dc.keywordsDomain specific
dc.keywordsTurkishs
dc.keywordsCustomer satisfaction
dc.language.isotur
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings - 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020
dc.subjectOptical character recognition
dc.subjectWriting
dc.titleTypo correction in domain-specific texts using FastText
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorTürker, Bekir Berker
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit2Graduate School of Sciences and Engineering
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relation.isParentOrgUnitOfPublication434c9663-2b11-4e66-9399-c863e2ebae43
relation.isParentOrgUnitOfPublication.latestForDiscovery434c9663-2b11-4e66-9399-c863e2ebae43

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