IDEAS home Printed from https://ideas.repec.org/r/eee/jaitra/v83y2020ics0969699719302959.html
   My bibliography  Save this item

Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Bellizzi, Maria Grazia & dell’Olio, Luigi & Eboli, Laura & Mazzulla, Gabriella, 2021. "Detecting passengers' heterogeneity on airlines’ services using SP data," Journal of Air Transport Management, Elsevier, vol. 96(C).
  2. Sharan Srinivas & Surya Ramachandiran, 2024. "Passenger intelligence as a competitive opportunity: unsupervised text analytics for discovering airline-specific insights from online reviews," Annals of Operations Research, Springer, vol. 333(2), pages 1045-1075, February.
  3. Park, Jeongeun & Yang, Donguk & Kim, Ha Young, 2023. "Text mining-based four-step framework for smart speaker product improvement and sales planning," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
  4. Nguyen Ngoc Hien & Nguyen Thanh Long & Vo Tan Liem & Danh Xuan Luu, 2024. "Customer Responses to Airline Service Failure: Perspectives from Expectation Disconfirmation Theory," SAGE Open, , vol. 14(2), pages 21582440241, May.
  5. Wandelt, Sebastian & Sun, Xiaoqian & Zhang, Anming, 2023. "AI-driven assistants for education and research? A case study on ChatGPT for air transport management," Journal of Air Transport Management, Elsevier, vol. 113(C).
  6. Liu, Haoyu & Tan, Kim Hua & Pawar, Kulwant, 2022. "Predicting viewer gifting behavior in sports live streaming platforms: The impact of viewer perception and satisfaction," Journal of Business Research, Elsevier, vol. 144(C), pages 599-613.
  7. Nijolė Batarlienė & Neringa Slavinskaitė, 2023. "Assessment of Factors Determining Airline Consumer Loyalty: Case Study in Lithuania," Sustainability, MDPI, vol. 15(2), pages 1-15, January.
  8. Patrick Brandtner & Farzaneh Darbanian & Taha Falatouri & Chibuzor Udokwu, 2021. "Impact of COVID-19 on the Customer End of Retail Supply Chains: A Big Data Analysis of Consumer Satisfaction," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
  9. Manju Bhardwaj & Priya Mishra & Shikha Badhani & Sunil K. Muttoo, 2024. "Sentiment analysis and topic modeling of COVID-19 tweets of India," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(5), pages 1756-1776, May.
  10. Yi, Jisu & Kim, Jongdae & Oh, Yun Kyung, 2024. "Uncovering the quality factors driving the success of mobile payment apps," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
  11. Chandra Mahapatra, Subas & Bellamkonda, Raja Shekhar, 2023. "Higher expectations of passengers do really sense: Development and validation a multiple scale-FliQual for air transport service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
  12. Schmalz, Ulrike & Ringbeck, Jürgen & Spinler, Stefan, 2021. "Door-to-door air travel: Exploring trends in corporate reports using text classification models," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
  13. Gang Chen & Shuaiyong Xiao & Chenghong Zhang & Huimin Zhao, 2023. "A Theory-Driven Deep Learning Method for Voice Chat–Based Customer Response Prediction," Information Systems Research, INFORMS, vol. 34(4), pages 1513-1532, December.
  14. Pereira, Francisco & Costa, Joana Martinho & Ramos, Ricardo & Raimundo, António, 2023. "The impact of the COVID-19 pandemic on airlines’ passenger satisfaction," Journal of Air Transport Management, Elsevier, vol. 112(C).
  15. Kumar, Avinash & Chakraborty, Shibashish & Bala, Pradip Kumar, 2023. "Text mining approach to explore determinants of grocery mobile app satisfaction using online customer reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
  16. Murugesan, R. & A P, Rekha & N, Nitish & Balanathan, Raghavan, 2024. "Forecasting airline passengers’ satisfaction based on sentiments and ratings: An application of VADER and machine learning techniques," Journal of Air Transport Management, Elsevier, vol. 120(C).
  17. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Samad, Sarminah & Alrizq, Mesfer & Alyami, Sultan & Alghamdi, Abdullah, 2023. "Analysis of customers' satisfaction with baby products: The moderating role of brand image," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
  18. Park, So-Young & Wang, Xinchen & Oh, Yeeun & Hong, Soo-Min & Woo, Su-Han, 2025. "Application of structural topic modeling in a literature review of air transport," Journal of Air Transport Management, Elsevier, vol. 122(C).
  19. Kumar, Anand & Bala, Pradip Kumar & Chakraborty, Shibashish & Behera, Rajat Kumar, 2024. "Exploring antecedents impacting user satisfaction with voice assistant app: A text mining-based analysis on Alexa services," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
  20. Gül Yazıcı & Tuğçe Ozansoy Çadırcı, 2024. "Creating meaningful insights from customer reviews: a methodological comparison of topic modeling algorithms and their use in marketing research," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(4), pages 865-887, December.
  21. Xie, Haotian & Li, Yi & Pu, Yang & Zhang, Chen & Huang, Junlin, 2024. "Evaluating airline service quality through a comprehensive text-mining and multi-criteria decision-making analysis," Journal of Air Transport Management, Elsevier, vol. 120(C).
  22. Levent Çallı & Büşra Alma Çallı, 2024. "Value‐centric analysis of user adoption for sustainable urban micro‐mobility transportation through shared e‐scooter services," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(6), pages 6408-6433, December.
  23. Bellizzi, Maria Grazia & Eboli, Laura & Mazzulla, Gabriella & Postorino, Maria Nadia, 2022. "Classification trees for analysing highly educated people satisfaction with airlines’ services," Transport Policy, Elsevier, vol. 116(C), pages 199-211.
  24. Shashank, Salabh & Behera, Rajat Kumar, 2024. "Factors influencing recommendations for women's clothing satisfaction: A latent dirichlet allocation approach using online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  25. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Minaei-Bidgoli, Behrouz & Abdu Zogaan, Waleed & Alhargan, Ashwaq & Mohd, Saidatulakmal & Syed Azhar, Sharifah Nurlaili Farhana & Asadi, Shahla & Samad, Sar, 2022. "Revealing travellers’ satisfaction during COVID-19 outbreak: Moderating role of service quality," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  26. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Samad, Sarminah & Alrizq, Mesfer & Alyami, Sultan & Abosaq, Hamad & Alghamdi, Abdullah & Akib, Noor Adelyna Mohammed, 2022. "Factors impacting customer purchase intention of smart home security systems: Social data analysis using machine learning techniques," Technology in Society, Elsevier, vol. 71(C).
  27. Babak Naysary & Mehdi Malekzadeh & Ruth Tacneng & Amine Tarazi, 2022. "Big data analytics application in multi-criteria decision making: the case of eWallet adoption," Working Papers hal-03632834, HAL.
  28. Ayat Zaki Ahmed & Manuel Rodríguez Díaz, 2022. "A Methodology for Machine-Learning Content Analysis to Define the Key Labels in the Titles of Online Customer Reviews with the Rating Evaluation," Sustainability, MDPI, vol. 14(15), pages 1-31, July.
  29. Zha, Wenbin & Ye, Qian & Li, Jian & Ozbay, Kaan, 2023. "A social media Data-Driven analysis for transport policy response to the COVID-19 pandemic outbreak in Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).
  30. Luanying Li & Lin Hua & Fei Gao, 2022. "What We Ask about When We Ask about Quarantine? Content and Sentiment Analysis on Online Help-Seeking Posts during COVID-19 on a Q&A Platform in China," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
  31. Birim, Şule Öztürk & Kazancoglu, Ipek & Kumar Mangla, Sachin & Kahraman, Aysun & Kumar, Satish & Kazancoglu, Yigit, 2022. "Detecting fake reviews through topic modelling," Journal of Business Research, Elsevier, vol. 149(C), pages 884-900.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.