Quantum-Inspired Framework For Big Data Analytics: Evaluating The Impact Of Movie Trailers And Its Financial Returns

Document Type

Article

Source of Publication

Journal Of Big Data

Publication Date

2-1-2025

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.

ISSN

2196-1115

Publisher

Springer Science and Business Media LLC

Volume

12

Issue

1

Disciplines

Computer Sciences

Keywords

Quantum computing, Big data analytics, Fama-French model, Movie trailer reviews, Financial returns

Indexed in Scopus

no

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series

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