Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns
Abstract In the context of the growing influence of businesses and marketers on social media platforms, understanding the impact of emotionally charged content on consumer behavior has become increasingly crucial. This study proposes a novel framework, leveraging quantum computing principles, to ass...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-02-01
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| Series: | Journal of Big Data |
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| Online Access: | https://doi.org/10.1186/s40537-025-01069-x |
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| _version_ | 1832571577336594432 |
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| author | Jaiteg Singh Kamalpreet Singh Bhangu Farman Ali Ahmad Ali AlZubi Babar Shah |
| author_facet | Jaiteg Singh Kamalpreet Singh Bhangu Farman Ali Ahmad Ali AlZubi Babar Shah |
| author_sort | Jaiteg Singh |
| collection | DOAJ |
| description | Abstract In the context of the growing influence of businesses and marketers on social media platforms, understanding the impact of emotionally charged content on consumer behavior has become increasingly crucial. This study proposes a novel framework, leveraging quantum computing principles, to assess the emotional impact of movie trailers. The framework incorporates big data analytics and utilizes Quantum Walk andQuantum Time Series models to investigate the relationship between a movie trailer's emotional intensity and its financial performance. Unlike sequential problem-solving approach of traditional computing models, Quantum superposition allows exploring multiple options at once. An analysis of 141 movie trailers released after January 1, 2022, revealed a positive correlation between a trailer's emotive score and its financial success. These findings suggest that trailers evoking a stronger emotional response tend to achieve greater box office returns compared to those with a lower emotional impact. This research underscores the pivotal role of emotionally resonant content in shaping consumer behavior and cinematic outcomes. It would offer valuable insights for filmmakers and marketers to optimize audience engagement and financial returns. |
| format | Article |
| id | doaj-art-42a94c7290bf4a458e69a65dcb33beef |
| institution | Kabale University |
| issn | 2196-1115 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Journal of Big Data |
| spelling | doaj-art-42a94c7290bf4a458e69a65dcb33beef2025-02-02T12:28:30ZengSpringerOpenJournal of Big Data2196-11152025-02-0112113010.1186/s40537-025-01069-xQuantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returnsJaiteg Singh0Kamalpreet Singh Bhangu1Farman Ali2Ahmad Ali AlZubi3Babar Shah4Chitkara University Institute of Engineering and Technology, Chitkara UniversityChitkara University Institute of Engineering and Technology, Chitkara UniversityDepartment of Applied AI, School of Convergence, College of Computing and Informatics, Sungkyunkwan UniversityDepartment of Computer Science, Community College, King Saud UniversityCollege of Technological Innovation, Zayed UniversityAbstract In the context of the growing influence of businesses and marketers on social media platforms, understanding the impact of emotionally charged content on consumer behavior has become increasingly crucial. This study proposes a novel framework, leveraging quantum computing principles, to assess the emotional impact of movie trailers. The framework incorporates big data analytics and utilizes Quantum Walk andQuantum Time Series models to investigate the relationship between a movie trailer's emotional intensity and its financial performance. Unlike sequential problem-solving approach of traditional computing models, Quantum superposition allows exploring multiple options at once. An analysis of 141 movie trailers released after January 1, 2022, revealed a positive correlation between a trailer's emotive score and its financial success. These findings suggest that trailers evoking a stronger emotional response tend to achieve greater box office returns compared to those with a lower emotional impact. This research underscores the pivotal role of emotionally resonant content in shaping consumer behavior and cinematic outcomes. It would offer valuable insights for filmmakers and marketers to optimize audience engagement and financial returns.https://doi.org/10.1186/s40537-025-01069-xQuantum computingBig data analyticsFama–French modelMovie trailer reviewsFinancial returns |
| spellingShingle | Jaiteg Singh Kamalpreet Singh Bhangu Farman Ali Ahmad Ali AlZubi Babar Shah Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns Journal of Big Data Quantum computing Big data analytics Fama–French model Movie trailer reviews Financial returns |
| title | Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns |
| title_full | Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns |
| title_fullStr | Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns |
| title_full_unstemmed | Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns |
| title_short | Quantum-inspired framework for big data analytics: evaluating the impact of movie trailers and its financial returns |
| title_sort | quantum inspired framework for big data analytics evaluating the impact of movie trailers and its financial returns |
| topic | Quantum computing Big data analytics Fama–French model Movie trailer reviews Financial returns |
| url | https://doi.org/10.1186/s40537-025-01069-x |
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