The Identification of Marketing Performance Using Text Mining of Airline Review Data
المؤلفون المشاركون
المصدر
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-01-02
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
We are aim firstly to extract major keywords using text mining method, secondly to identify prominent keyword from the keywords extracted from text mining analysis, and then to confirm differences in influences of the keywords which affect corporate performance.
Results were as following.
First, keywords have been found to show distinctive features.
Since the keywords posted from the clients showed certain tendency, airlines accordingly need service management by identifying the service property through keyword analysis.
Second, prominent keywords have been found out of the keyword extracted from text mining.
Some of the keywords have significantly correlated with marketing performance, but others not.
This implies that the company could uncover consumers’ needs through the prominent keywords and managing the properties related to the prominent keywords would help with improving corporate performance.
Third, “recommend” should be treated distinctively with “satisfaction” in terms of service management through the keywords.
Results suggest strategic implications to the practical business environment by analyzing keywords around the industry using text mining.
We believe this work, which aims to establish common ground for understanding these analyses across multiple disciplinary perspectives, will encourage further research and development of service industry.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Hong, Jae-Won& Park, Seung-Bae. 2019. The Identification of Marketing Performance Using Text Mining of Airline Review Data. Mobile Information Systems،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1193720
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Hong, Jae-Won& Park, Seung-Bae. The Identification of Marketing Performance Using Text Mining of Airline Review Data. Mobile Information Systems No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1193720
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Hong, Jae-Won& Park, Seung-Bae. The Identification of Marketing Performance Using Text Mining of Airline Review Data. Mobile Information Systems. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1193720
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1193720
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر