{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:50:17Z","timestamp":1774021817781,"version":"3.50.1"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1007\/s11042-023-15887-9","type":"journal-article","created":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T09:02:05Z","timestamp":1685350925000},"page":"4791-4808","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Impact of ratings of content on OTT platforms and prediction of its success rate"],"prefix":"10.1007","volume":"83","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3849-5945","authenticated-orcid":false,"given":"Krishna Kumar","family":"Singh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeroz","family":"Makhania","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Madhumita","family":"Mahapatra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,29]]},"reference":[{"key":"15887_CR1","doi-asserted-by":"crossref","unstructured":"Abu Amra IA, Maghari AYA (2017) Students performance prediction using KNN and Na\u00efve Bayesian. 8th International Conference on Information Technology","DOI":"10.1109\/ICITECH.2017.8079967"},{"key":"15887_CR2","unstructured":"Bagkar P, Borude A, Aga Z (2021) Sentiment analysis on Netflix. Iconic Res Eng J 4(11):121\u2013126"},{"key":"15887_CR3","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1038\/s41746-022-00558-0","volume":"5","author":"I Bayramli","year":"2022","unstructured":"Bayramli I, Castro V, Barak-Corren Y, Madsen EM, Nock MK, Smoller JW, Reis BY (2022) Predictive structured\u2013unstructured interactions in EHR models: a case study of suicide prediction. Digit Med 5:15","journal-title":"Digit Med"},{"key":"15887_CR4","doi-asserted-by":"publisher","first-page":"952","DOI":"10.1080\/15476286.2017.1312226","volume":"14","author":"X Chen","year":"2017","unstructured":"Chen X, Wu Q-F, Yan G-Y (2017) RKNNMDA: ranking-based KNN for MiRNA-disease association prediction. RNA Biol 14:952\u2013962","journal-title":"RNA Biol"},{"key":"15887_CR5","volume-title":"Disney plus: launch and beyond","author":"D Daniel","year":"2021","unstructured":"Daniel D (2021) Disney plus: launch and beyond. The Faculty of the College of Business & Economics, California State University, Los Angeles"},{"key":"15887_CR6","unstructured":"Francoeur B (2004) Brand image and walt disney: a qualitative analysis of \u201cmagical gatherings\u201d. J Undergrad Res 1(1):1\u201366"},{"key":"15887_CR7","first-page":"1931","volume":"14","author":"V Gururaj","year":"2019","unstructured":"Gururaj V, Ray SV, Kay A (2019) Stock market prediction using linear regression and support vector machines. Int J Appl Eng Res 14:1931\u20131934","journal-title":"Int J Appl Eng Res"},{"key":"15887_CR8","unstructured":"Havard CT (2021) Disney, Netflix, and Amazon Oh My! An analysis of streaming brand competition and the impact on the future of consumer entertainment. Findings in sport, hospitality, entertainment, and event management"},{"key":"15887_CR9","doi-asserted-by":"publisher","unstructured":"Huang W, Ying TW, Chin WLC, Baskaran L, Marcus OEH, Yeo KK, Kiong NS (2022) Application of ensemble machine learning algorithms for cardiovascular risk prediction. Nature Portfolio Scientific Reports, Complexity 1:1\u201310. https:\/\/doi.org\/10.1155\/2021\/6663455","DOI":"10.1155\/2021\/6663455"},{"key":"15887_CR10","first-page":"109","volume":"5","author":"HM Keerthi Kumar","year":"2018","unstructured":"Keerthi Kumar HM, Harish BS, Darshan HK (2018) Sentiment analysis on IMDb movie reviews using hybrid feature extraction method. Int J Interact Multimed Artif Intell 5:109\u2013114","journal-title":"Int J Interact Multimed Artif Intell"},{"key":"15887_CR11","unstructured":"Kouloumpis E, Wilson T, Moore JD (2011) Twitter sentiment analysis: the good, the bad, and the OMG! Fifth international AAAI conference on weblogs and social media"},{"key":"15887_CR12","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1038\/s41524-022-00704-y","volume":"8","author":"K Lee","year":"2022","unstructured":"Lee K, Ayyasamy MV, Delsa P, Hartnett TQ, Balachandran PV (2022) Phase classification of multi-principal element alloys via interpretable machine learning. Comput Mater 8:25","journal-title":"Comput Mater"},{"key":"15887_CR13","doi-asserted-by":"publisher","first-page":"100436","DOI":"10.1016\/j.obmed.2022.100436","volume":"34","author":"M Mahapatra","year":"2022","unstructured":"Mahapatra M, Singh KK (2022) Prediction of causes and effects of obesity in India by supervise learning approaches. Obes Med 34:100436. https:\/\/doi.org\/10.1016\/j.obmed.2022.100436. ISSN 2451-8476","journal-title":"Obes Med"},{"key":"15887_CR14","unstructured":"Moochhala Q (2018) The future of online OTT entertainment services in India, vol 1,\u00a0issue 1, pp 2\u201325. https:\/\/actionesque.com\/research-papers_pdf\/QM-OTT-future-2018.pdf"},{"key":"15887_CR15","doi-asserted-by":"crossref","unstructured":"Mood C (2009) Logistic regression: why we logistic regression: why we can do, and what we can do about it. Eur Sociol Rev 26(1):67\u201382 (February 2010)","DOI":"10.1093\/esr\/jcp006"},{"key":"15887_CR16","unstructured":"Nanehkaran FH, Lajevardi SM, Bidgholi MM (2022) Nearest neighbors algorithm and genetic-based collaborative filtering. Concurrency and computation: practice and experience"},{"key":"15887_CR17","first-page":"21","volume":"19","author":"E-A Park","year":"2017","unstructured":"Park E-A (2017) Why the networks cannot beat Netflix: speculations on the US OTT Services Market. Digit Policy Regul Gov 19:21\u201339","journal-title":"Digit Policy Regul Gov"},{"key":"15887_CR18","doi-asserted-by":"publisher","first-page":"37414","DOI":"10.1109\/ACCESS.2019.2905133","volume":"7","author":"N Pritam","year":"2019","unstructured":"Pritam N et al (2019) Assessment of code smell for predicting class change proneness using machine learning. IEEE Access 7:37414\u201337425. https:\/\/doi.org\/10.1109\/ACCESS.2019.2905133","journal-title":"IEEE Access"},{"key":"15887_CR19","volume-title":"Customer satisfaction with disney plus hotstar streaming service in Indonesia: the impact of the user experience","author":"DA Putri","year":"2021","unstructured":"Putri DA (2021) Customer satisfaction with disney plus hotstar streaming service in Indonesia: the impact of the user experience. Faculty of Economics and Business, Universitas Mercu Buana, Jakarta"},{"issue":"01","key":"15887_CR20","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1177\/0976030X221112529","volume":"14","author":"KK Singh","year":"2023","unstructured":"Singh KK (2023) Study of early risks of depression by analysing social media posts. IIMS J Manag Sci 14(01):9\u201325","journal-title":"IIMS J Manag Sci"},{"key":"15887_CR21","doi-asserted-by":"crossref","unstructured":"Singh T, Kumari M (2016) Role of text pre-processing in Twitter sentiment analysis. Twelfth international multi-conference on information processing","DOI":"10.1016\/j.procs.2016.06.095"},{"key":"15887_CR22","doi-asserted-by":"publisher","first-page":"12","DOI":"10.11613\/BM.2014.003","volume":"24","author":"S Sperande","year":"2014","unstructured":"Sperande S (2014) Understanding logistic regression analysis. Biochem Med 24:12\u20138","journal-title":"Biochem Med"},{"key":"15887_CR23","unstructured":"Vadloori KB, Sanghishetty SM (2021) Exploratory and sentiment analysis of Netflix data. Int J Eng Res Technol 10:9 (September 2021)"},{"key":"15887_CR24","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1016\/j.comcom.2020.01.018","volume":"151","author":"S Vimal","year":"2020","unstructured":"Vimal S, Khari M, Dey N, Crespo RG, Robinson YH (2020) Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT. Comput Commun 151:355\u2013364. https:\/\/doi.org\/10.1016\/j.comcom.2020.01.018. ISSN 0140-3664","journal-title":"Comput Commun"},{"key":"15887_CR25","doi-asserted-by":"crossref","unstructured":"Yoo B, Donthu N, Pilling BK (1998) Channel efficiency: franchise vs. non-franchise systems. J Mark Chennals 6(3\/4):1\u201316","DOI":"10.1300\/J049v06n03_01"},{"key":"15887_CR26","doi-asserted-by":"crossref","unstructured":"Zhang L, Liu Q, Yang W, Wei N, Dong D (2013) An improved k-nearest neighbor model for short-term traffic flow prediction. 13th COTA international conference of transportation professionals","DOI":"10.1016\/j.sbspro.2013.08.076"}],"updated-by":[{"DOI":"10.1007\/s11042-023-17900-7","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2023,12,20]],"date-time":"2023-12-20T00:00:00Z","timestamp":1703030400000}}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15887-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-023-15887-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-023-15887-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,6]],"date-time":"2024-01-06T05:33:44Z","timestamp":1704519224000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-023-15887-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":26,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["15887"],"URL":"https:\/\/doi.org\/10.1007\/s11042-023-15887-9","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s11042-023-17900-7","asserted-by":"object"}]},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,5,29]]},"assertion":[{"value":"27 January 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 April 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 May 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 May 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 December 2023","order":5,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":6,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s11042-023-17900-7","URL":"https:\/\/doi.org\/10.1007\/s11042-023-17900-7","order":8,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}