1 |
Clemons, E., Gao, G., and Hitt, L. 2006. When online reviews meet hyper differentiation: A study of the craft beer industry. Journal of Management Information Systems 23(2):149-171.
DOI
|
2 |
Guellil, I. and Boukhalfa, K. 2015. Social big data mining: A survey focused on opinion mining and sentiments analysis. 2015 12th International Symposium on Programming and Systems, 1-10.
|
3 |
Hu, N., Zhang, T., Gao, B. and Bose, I. 2019. What do hotel customers complain about? Text analysis using. Tourism Management 72:417-426.
DOI
|
4 |
Jung, N.R. and Kim, Y.R. 2014. The influence of customer's purchasing attitude for cosmetic by characteristic of SNS on related information and purchase satisfaction. Asian Journal of Beauty and Cosmetology 12(4):565-573.
|
5 |
Bhandari, M. and Rodgers, S. 2018. What does the brand say? Effects of brand feedback to negative eWOM on brand trust and purchase intentions. International Journal of Advertising 37(1):125-141.
DOI
|
6 |
Ramadan, S., Ibrahim Baqapuri, H., Roecher, E., and Mathiak, K. 2019. Process mining of logged gaming behavior. 2019 International Conference on Process Minig (ICPM), 57-64.
|
7 |
Lee, E.J. and Shim, W.S. 2007. A study on the behavior characteristics of point of purchase, post purchase and trust evaluation of Internet shopping after notes. The e-business studies 8(3):155-170.
|
8 |
Medhat, W., Hassan, A., and Korashy, H. 2014. Sentiment analysis algorithms and applications: A survey. Ain Shams Engineering Journal 5(4):1093-1113.
DOI
|
9 |
Media, D. 2016. Consumer Reports by Industry. Seoul, South Korea. DMC Report.
|
10 |
Xiang, Z., Schwartz, Z., Gerdes, J. H., and Uysal, M. 2015. What can big data and text analytics tell us about hotel guest experience and satisfaction?. International Journal of Hospitality Management 44:120-130
DOI
|
11 |
Zhan, Y., Tan, K. H., Li, Y., and Tse, Y. K. 2018. Unlocking the power of big data in new product development. Annals of Operations Research 270(1):577-595.
DOI
|
12 |
Karamibekr, M. and Ghorbani, A. A. 2013. A structure for opinion in social domains. 2013 International Conference on Social Computing (SocialCom), 1:264-271.
|
13 |
Park, J. 2020. Framework for Sentiment-Driven Evaluation of Customer Satisfaction With Cosmetics Brands. IEEE Access 8:98526-98538.
DOI
|
14 |
Lee, T. Y. and Bradlow, E. T. 2011. Automated marketing research using online customer reviews. Journal of Marketing Research 48(5):881-894.
DOI
|
15 |
Archak, N., Ghose, A., and Ipeirotis, P.G. 2011. Deriving the pricing power of product features by mining consumer reviews. Management Science 57(8):1485-1509.
DOI
|
16 |
Arora, S., Joshi, M., and Rose, C. P. 2009. Identifying types of claims in online customer reviews. Association for Computational Linguistics, Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, 37-40.
|
17 |
Bhuta, S., Doshi, A., Doshi, U., and Narvekar, M. 2014. A review of techniques for sentiment analysis of Twitter data. 2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, 583-591.
|
18 |
Cambria, E., Schuller, B., Xia, Y., and Havasi, C. 2013. New avenues in opinion mining and sentiment analysis. IEEE Intelligent Systems 28(2):15-21.
DOI
|
19 |
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., and Gremler, D. D. 2004. Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?. Journal of Interactive Marketing, 18(1):38-52.
DOI
|
20 |
Liao, S.H., Hsieh, C.L., and Huang, S.P. 2008. Mining product maps for new product development. Expert System with Application 34(1):50-62.
DOI
|
21 |
Zhan, J., Loh, H. T., and Liu, Y. 2009. Gather customer concerns from online product reviews-A text summarization approach. Expert System with Applications 36(2):2107-2115.
DOI
|