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Evaluation of Cluster Management Quality Based on Consumer Opinion Sentiment Analysis


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Abirami, A.M., Askarunisa, A. 2017. Sentiment analysis model to emphasize the impact of online reviews in healthcare industry. Online Information Review, 41(4), pp.471–486. AbiramiA.M. AskarunisaA. 2017 Sentiment analysis model to emphasize the impact of online reviews in healthcare industry Online Information Review 41 4 471 486 10.1108/OIR-08-2015-0289 Search in Google Scholar

Albesta, D.D., Jonathan, M.L., Jawad, M., Hardiawan, O., Suhartono, D. 2021. The impact of sentiment analysis from user on Facebook to enhanced the service quality. International Journal of Electrical & Computer Engineering (2088–8708), 11(4), pp.3424–3433. AlbestaD.D. JonathanM.L. JawadM. HardiawanO. SuhartonoD. 2021 The impact of sentiment analysis from user on Facebook to enhanced the service quality International Journal of Electrical & Computer Engineering (2088–8708), 11 4 3424 3433 10.11591/ijece.v11i4.pp3424-3433 Search in Google Scholar

Archak, N., Ghose, A., Ipeirotis, P.G., 2011. Deriving the pricing power of product features by mining consumer reviews. Management Science, 57(8), pp.1485–1509. ArchakN. GhoseA. IpeirotisP.G. 2011 Deriving the pricing power of product features by mining consumer reviews Management Science 57 8 1485 1509 10.1287/mnsc.1110.1370 Search in Google Scholar

Asur, S., Huberman, B.A., 2010. Predicting the future with social media. In 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Vol. 1, IEEE., pp.492–499. AsurS. HubermanB.A. 2010 Predicting the future with social media In 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology 1 IEEE 492 499 10.1109/WI-IAT.2010.63 Search in Google Scholar

Bernatowicz, A., Małyszko, J., 2014. Recenzje konsumenckie w Internecie. Społeczny kontekst publikowania opinii i analiza spójności różnych sposobów ich wyrażania (Consumer Reviews on the Internet. The Social Context of Opinion Publishing and an Analysis of the Consistency of Different ways of Expressing them), In: D. Appenzeller (ed.), 2014. Matematyka i informatyka na usługach ekonomii: teoria i zastosowania (Mathematics and Computer Science at the Service of Economics: Theory and Applications). Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu (Published by the University of Economics in Poznań), pp.158–168. BernatowiczA. MałyszkoJ. 2014 Recenzje konsumenckie w Internecie. Społeczny kontekst publikowania opinii i analiza spójności różnych sposobów ich wyrażania (Consumer Reviews on the Internet. The Social Context of Opinion Publishing and an Analysis of the Consistency of Different ways of Expressing them) In: AppenzellerD. (ed.), 2014 Matematyka i informatyka na usługach ekonomii: teoria i zastosowania (Mathematics and Computer Science at the Service of Economics: Theory and Applications) Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu (Published by the University of Economics in Poznań) 158 168 Search in Google Scholar

Bruhn, M., Hennig-Thurau, T., Hadwich, K., 2004. Markenführung und Relationship Marketing. In: Handbuch Markenführung. Gabler Verlag, Wiesbaden, pp.391–420. BruhnM. Hennig-ThurauT. HadwichK. 2004 Markenführung und Relationship Marketing In: Handbuch Markenführung Gabler Verlag Wiesbaden 391 420 10.1007/978-3-663-01557-4_17 Search in Google Scholar

Chaney, P., 2020. 26 Business Review Sites Where Customers Rate You. Small Business TRENDS, [online] Available at: https://smallbiz-trends.com/2020/12/business-review-sites.html [Access: 08.06.2021] ChaneyP. 2020 26 Business Review Sites Where Customers Rate You Small Business TRENDS [online] Available at: https://smallbiz-trends.com/2020/12/business-review-sites.html [Access: 08.06.2021] Search in Google Scholar

Chen, B., Zhu, L., Kifer, D., Lee, D., 2010. What is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, pp.1007–1012. https://dl.acm.org/doi/abs/10.5555/2898607.2898768. ChenB. ZhuL. KiferD. LeeD. 2010 What is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence 1007 1012 https://dl.acm.org/doi/abs/10.5555/2898607.2898768. 10.1609/aaai.v24i1.7717 Search in Google Scholar

Chong, A.Y.L., Li, B., Ngai, E.W.T., Ch'ng, E., Lee, F., 2016. Predicting online product sales via online reviews, sentiments, and promotion strategies: A big data architecture and neural network approach. International Journal of Operations & Production Management. Vol. 36, No. 4, pp.358–383. https://doi.org/10.1108/IJOPM-03-2015-0151 ChongA.Y.L. LiB. NgaiE.W.T. Ch'ngE. LeeF. 2016 Predicting online product sales via online reviews, sentiments, and promotion strategies: A big data architecture and neural network approach International Journal of Operations & Production Management 36 4 358 383 https://doi.org/10.1108/IJOPM-03-2015-0151 10.1108/IJOPM-03-2015-0151 Search in Google Scholar

Das, S., Chen, M., 2001. Yahoo! For Amazon: Extracting Market Sentiment from Stock Message Boards. In: Proceedings of the Asia Pacific Finance Association Annual Conference (APFA) Vol. 35, p.4–45. DasS. ChenM. 2001 Yahoo! For Amazon: Extracting Market Sentiment from Stock Message Boards In: Proceedings of the Asia Pacific Finance Association Annual Conference (APFA) 35 4 45 Search in Google Scholar

Dbohra, 2021. 15 Business Review Sites Where Customers Rate You, Branding, Business, [online] Available at: https://dbohra.com/blog/index.php/2021/01/13/15-business-review-sites-customers-rate-you/ [Access:08.06.2021] Dbohra 2021 15 Business Review Sites Where Customers Rate You Branding, Business [online] Available at: https://dbohra.com/blog/index.php/2021/01/13/15-business-review-sites-customers-rate-you/ [Access:08.06.2021] Search in Google Scholar

Directorate For Science, Technology And Innovation Committee On Consumer Policy, 2018. Understanding Online Consumer Ratings And Reviews, Organisation for Economic Co-operation and Development, pp.1–25. [online] Available at: https://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=DSTI/CP(2018)21/FINAL&docLanguage=En [Access: 14.08.2021]. Directorate For Science, Technology And Innovation Committee On Consumer Policy 2018 Understanding Online Consumer Ratings And Reviews, Organisation for Economic Co-operation and Development 1 25 [online] Available at: https://www.oecd.org/officialdocuments/publicdisplaydocumentpdf/?cote=DSTI/CP(2018)21/FINAL&docLanguage=En [Access: 14.08.2021]. Search in Google Scholar

Duan, W., Cao, Q., Yu, Y., Levy, S., 2013. Mining Online User-Generated Content: Using Sentiment Analysis Technique to Study Hotel Service Quality. In 2013 46th Hawaii International Conference on System Sciences (IEEE.), pp.3119–3128. DuanW. CaoQ. YuY. LevyS. 2013 Mining Online User-Generated Content: Using Sentiment Analysis Technique to Study Hotel Service Quality In 2013 46th Hawaii International Conference on System Sciences (IEEE.) 3119 3128 10.1109/HICSS.2013.400 Search in Google Scholar

Dzieciątko, M., 2018. Application of Text Analytics to Analyze Emotions in the Speeches. In International Conference on Information Technologies in Biomedicine, Springer, Cham, pp.525–536. DzieciątkoM. 2018 Application of Text Analytics to Analyze Emotions in the Speeches In International Conference on Information Technologies in Biomedicine Springer, Cham 525 536 10.1007/978-3-319-91211-0_46 Search in Google Scholar

Gimpel, K., Schneider, N., O’Connor, B., et al., 2010. Part-of-speech Tagging for Twitter: Annotation, Features, and Experiments. Carnegie-Mellon Univ Pittsburgh Pa School of Computer Science. GimpelK. SchneiderN. O’ConnorB. 2010 Part-of-speech Tagging for Twitter: Annotation, Features, and Experiments Carnegie-Mellon Univ Pittsburgh Pa School of Computer Science 10.21236/ADA547371 Search in Google Scholar

Gładysz, A., 2017. Analiza wydźwięku polskojęzycznych opinii konsumenckich: implementacja algorytmu tworzenia słownika wydźwięku. Overtone Analysis of Polish-language Consumer Opinions: Implementation of an Algorithm for Creating an Overtone Dictionary). Autobusy: technika, eksploatacja, systemy transportowe (Buses: technique, operation, transport systems), Vol. 12, p.1692–1697. GładyszA. 2017 Analiza wydźwięku polskojęzycznych opinii konsumenckich: implementacja algorytmu tworzenia słownika wydźwięku. Overtone Analysis of Polish-language Consumer Opinions: Implementation of an Algorithm for Creating an Overtone Dictionary) Autobusy: technika, eksploatacja, systemy transportowe (Buses: technique, operation, transport systems) 12 1692 1697 Search in Google Scholar

Guta, M., 2017. 97% of Customers Read Online Reviews, Survey Says. Small Business Trends. [online] Available at: https://smallbiz-trends.com/2017/11/2017-local-consumer-review-survey.html [Access: 02.08.2021] GutaM. 2017 97% of Customers Read Online Reviews, Survey Says Small Business Trends [online] Available at: https://smallbiz-trends.com/2017/11/2017-local-consumer-review-survey.html [Access: 02.08.2021] Search in Google Scholar

Guttmann, A., 2017. Most Trusted Sources for Product Information in the U.S. in 2016, Advertising & Marketing, [online] Available at: https://www.statista.com/statistics/251456/content-online-shoppers-trust-when-researching-products-in-the-us/ [Access 05.08.2021] GuttmannA. 2017 Most Trusted Sources for Product Information in the U.S. in 2016 Advertising & Marketing [online] Available at: https://www.statista.com/statistics/251456/content-online-shoppers-trust-when-researching-products-in-the-us/ [Access 05.08.2021] Search in Google Scholar

Jeyapriya, A., Selvi, C.K., 2015. Extracting Aspects and Mining Opinions in Product Reviews Using Supervised Learning Algorithm. Proceedings of the 2nd International Conference on Electronics and Communication Systems (ICECS), IEEE, pp.548–552. JeyapriyaA. SelviC.K. 2015 Extracting Aspects and Mining Opinions in Product Reviews Using Supervised Learning Algorithm Proceedings of the 2nd International Conference on Electronics and Communication Systems (ICECS) IEEE 548 552 10.1109/ECS.2015.7124967 Search in Google Scholar

Kantar Media, 2019. What Brand Information Sources Do People Trust the Most?. MarketingCharts. [online] Available at: https://www.marketingcharts.com/brand-related-108281 [Access 05.08.2021]. Kantar Media 2019 What Brand Information Sources Do People Trust the Most? MarketingCharts [online] Available at: https://www.marketingcharts.com/brand-related-108281 [Access 05.08.2021]. Search in Google Scholar

Kauffmann, E., Peral, J., Gil, D., Ferrández, A., Sellers, R., Mora, H. 2020. A Framework for Big Data Analytics in Commercial Social Networks: A Case Study on Sentiment Analysis and Fake Review Detection for Marketing Decision-Making. Industrial Marketing Management, 90, pp.523–537. KauffmannE. PeralJ. GilD. FerrándezA. SellersR. MoraH. 2020 A Framework for Big Data Analytics in Commercial Social Networks: A Case Study on Sentiment Analysis and Fake Review Detection for Marketing Decision-Making Industrial Marketing Management 90 523 537 10.1016/j.indmarman.2019.08.003 Search in Google Scholar

Liu, B. 2011. Opinion Mining and Sentiment Analysis. In: B. Liu (ed.), 2011. Web Data Mining. Springer, Berlin, Heidelberg, pp.459–526. LiuB. 2011 Opinion Mining and Sentiment Analysis In: LiuB. (ed.), 2011 Web Data Mining Springer Berlin, Heidelberg 459 526 10.1007/978-3-642-19460-3_11 Search in Google Scholar

Liu, B., 2015. Sentiment Analysis, Cambridge University Press, pp.259–301. LiuB. 2015 Sentiment Analysis Cambridge University Press 259 301 10.1017/CBO9781139084789.013 Search in Google Scholar

Liu, Y., Huang, X., An, A., Yu, X. 2007. ARSA: A Sentiment-aware Model for Predicting Sales Performance Using Blogs. Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 607–614. LiuY. HuangX. AnA. YuX. 2007 ARSA: A Sentiment-aware Model for Predicting Sales Performance Using Blogs Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 607 614 10.1145/1277741.1277845 Search in Google Scholar

Małyszko, J., 2015. Automatyczne przetwarzanie recenzji konsumenckich dla oceny użyteczności produktów i usług (Automatic Processing of Consumer Reviews for Usability Evaluation of Products and Services). Rozprawa doktorska (PhD thesis), doctoral supervisor: Abramowicz, W., Poznań University of Economics and Business, p. 16–155. MałyszkoJ. 2015 Automatyczne przetwarzanie recenzji konsumenckich dla oceny użyteczności produktów i usług (Automatic Processing of Consumer Reviews for Usability Evaluation of Products and Services) Rozprawa doktorska (PhD thesis), doctoral supervisor: AbramowiczW. Poznań University of Economics and Business 16 155 Search in Google Scholar

Mandel, A., 2018. Producent Doritos ujawnia – olej palmowy zniknie ze składu przekąsek (Doritos Manufacturer Reveals - Palm Oil Will Disappear from Snack Ingredients), Rzeczpospolita, [online] Available at: https://www.rp.pl/Przemysl-spozywczy/180909587-Producent-Doritos-ujawnia--olej-palmowy-zniknie-ze-skladu-przekasek.html [Access: 14.10.2018]. MandelA. 2018 Producent Doritos ujawnia – olej palmowy zniknie ze składu przekąsek (Doritos Manufacturer Reveals - Palm Oil Will Disappear from Snack Ingredients) Rzeczpospolita [online] Available at: https://www.rp.pl/Przemysl-spozywczy/180909587-Producent-Doritos-ujawnia--olej-palmowy-zniknie-ze-skladu-przekasek.html [Access: 14.10.2018]. Search in Google Scholar

McGlohon, M., Glance, N., Reiter, Z., 2010. Star Quality: Aggregating Reviews to Rank Products and Merchants. Proceedings of Fourth international AAAI Conference on Weblogs and Social Media, pp.114–121. McGlohonM. GlanceN. ReiterZ. 2010 Star Quality: Aggregating Reviews to Rank Products and Merchants Proceedings of Fourth international AAAI Conference on Weblogs and Social Media 114 121 10.1609/icwsm.v4i1.14019 Search in Google Scholar

Młodzianowski, P., 2018. A Study of the Influence of Online Information on the Changes in the Warsaw Stock Exchange Indexes. Acta Universitatis Lodziensis, Vol. 335, No 3, pp.123–138. MłodzianowskiP. 2018 A Study of the Influence of Online Information on the Changes in the Warsaw Stock Exchange Indexes Acta Universitatis Lodziensis 335 3 123 138 10.18778/0208-6018.335.09 Search in Google Scholar

Nakayama, M., Wan, Y., 2019. The Cultural Impact on Social commerce: A Sentiment Analysis on Yelp Ethnic Restaurant Reviews. Information & Management, 56(2), pp. 271–279. NakayamaM. WanY. 2019 The Cultural Impact on Social commerce: A Sentiment Analysis on Yelp Ethnic Restaurant Reviews Information & Management 56 2 271 279 10.1016/j.im.2018.09.004 Search in Google Scholar

Nasukawa, T., Yi, J., 2003. Sentiment Analysis: Capturing Favorability Using Natural Language Processing. In Proceedings of the 2nd international conference on Knowledge capture, pp. 70–77. NasukawaT. YiJ. 2003 Sentiment Analysis: Capturing Favorability Using Natural Language Processing In Proceedings of the 2nd international conference on Knowledge capture 70 77 10.1145/945645.945658 Search in Google Scholar

Pang, B., Lee, L., Vaithyanathan, S., 2002. Thumbs up? Sentiment classification using machine learning techniques. arXiv:cs/0205070. PangB. LeeL. VaithyanathanS. 2002 Thumbs up? Sentiment classification using machine learning techniques arXiv:cs/0205070. 10.3115/1118693.1118704 Search in Google Scholar

Perkins, B., Fenech, C., 2016. The Deloitte Consumer Review The Growing Power of Consumers, A Deloitte Insight report, [online] Available at: https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/consumer-business/consumer-review-8-the-growing-power-of-consumers.pdf [Access: 11.08.2021] PerkinsB. FenechC. 2016 The Deloitte Consumer Review The Growing Power of Consumers A Deloitte Insight report [online] Available at: https://www2.deloitte.com/content/dam/Deloitte/uk/Documents/consumer-business/consumer-review-8-the-growing-power-of-consumers.pdf [Access: 11.08.2021] Search in Google Scholar

Pozzi, F. A., Fersini, E., Messina, E., Liu, B., 2016. Sentiment Analysis in Social Networks. Morgan Kaufmann, p.18–21. PozziF. A. FersiniE. MessinaE. LiuB. 2016 Sentiment Analysis in Social Networks Morgan Kaufmann 18 21 10.1016/B978-0-12-804412-4.00001-2 Search in Google Scholar

Ravi, K., Ravi, V., 2015. A Survey on Opinion Mining and Sentiment Analysis: Tasks, Approaches and Applications. Knowledge based systems, 89, pp.14–46. RaviK. RaviV. 2015 A Survey on Opinion Mining and Sentiment Analysis: Tasks, Approaches and Applications Knowledge based systems 89 14 46 10.1016/j.knosys.2015.06.015 Search in Google Scholar

Reviewtrackers, 2021. 19 Business Review Sites for Improving Your Brand Visibility. Reviewtrackers, [online] Available at: https://www.reviewtrackers.com/guides/business-review-sites/ [Access: 08.06.2021] Reviewtrackers 2021 19 Business Review Sites for Improving Your Brand Visibility Reviewtrackers [online] Available at: https://www.reviewtrackers.com/guides/business-review-sites/ [Access: 08.06.2021] Search in Google Scholar

Sadikov, E., Parameswaran, A., Venetis, P. 2009. Blogs as predictors of movie success. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 3, No. 1. SadikovE. ParameswaranA. VenetisP. 2009 Blogs as predictors of movie success In Proceedings of the International AAAI Conference on Web and Social Media 3 1 10.1609/icwsm.v3i1.13966 Search in Google Scholar

Taylor, K., 2018. Reklama piwa Heineken wycofana. Po oskarżeniach o rasizm (Heineken Beer ad Withdrawn. After Accusations of Racism), BUSINESS INSIDER, [online] Available at: https://businessinsider.com.pl/media/reklama/heineken-wycofal-reklame-po-oskrazeniach-o-rasizm/38l6prn [Access: 14.10.2018] TaylorK. 2018 Reklama piwa Heineken wycofana. Po oskarżeniach o rasizm (Heineken Beer ad Withdrawn. After Accusations of Racism) BUSINESS INSIDER [online] Available at: https://businessinsider.com.pl/media/reklama/heineken-wycofal-reklame-po-oskrazeniach-o-rasizm/38l6prn [Access: 14.10.2018] Search in Google Scholar

Tumasjan, A., Sprenger, T., Sandner, P., Welpe, I., 2010. Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 4, No. 1. TumasjanA. SprengerT. SandnerP. WelpeI. 2010 Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment In Proceedings of the International AAAI Conference on Web and Social Media 4 1 10.1609/icwsm.v4i1.14009 Search in Google Scholar

Qazi, A., Tamjidyamcholo, A., Raj, R.G., Hardaker, G., Standing, C., 2017. Assessing Consumers’ Satisfaction and Expectations through Online Opinions: Expectation and Disconfirmation Approach. Computers in Human Behavior, 75, pp.450–460. QaziA. TamjidyamcholoA. RajR.G. HardakerG. StandingC. 2017 Assessing Consumers’ Satisfaction and Expectations through Online Opinions: Expectation and Disconfirmation Approach Computers in Human Behavior 75 450 460 10.1016/j.chb.2017.05.025 Search in Google Scholar