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Mining the voice of customers using text mining and interpretable machine learning: A case study of Delta Air Lines

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dc.contributor.authorLEE, Hong Chul-
dc.date.accessioned2022-04-02T07:41:35Z-
dc.date.available2022-04-02T07:41:35Z-
dc.date.created2022-04-02-
dc.date.issued2022-01-14-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/139480-
dc.publisherInternational Conference on Industrial Engineering and Applications (Europe)-
dc.subjectVoice of customers, Text mining, Interpretable machine learning-
dc.titleMining the voice of customers using text mining and interpretable machine learning: A case study of Delta Air Lines-
dc.title.alternative텍스트 마이닝 및 해석 가능한 머신 러닝을 사용한 고객의 소리 마이닝: Delta Air Lines의 사례 연구-
dc.typeConference-
dc.contributor.affiliatedAuthorLEE, Hong Chul-
dc.identifier.bibliographicCitation2022 The 9th International Conference on Industrial Engineering and Applications (Europe)-
dc.relation.isPartOf2022 The 9th International Conference on Industrial Engineering and Applications (Europe)-
dc.relation.isPartOfICIEA 2022 (Europe)-
dc.citation.title2022 The 9th International Conference on Industrial Engineering and Applications (Europe)-
dc.citation.conferencePlaceSP-
dc.citation.conferenceDate2022-01-12-
dc.type.rimsCONF-
dc.description.journalClass1-
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