Research Article
Sentimental Analysis for improving the standards of Digital Ticketing Platforms in China
@INPROCEEDINGS{10.4108/eai.23-11-2023.2343248, author={Linlin Xu and Siva Shankar Ramasamy and Praveenkumar Somasundaram}, title={Sentimental Analysis for improving the standards of Digital Ticketing Platforms in China}, proceedings={Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India}, publisher={EAI}, proceedings_a={IACIDS}, year={2024}, month={3}, keywords={digital ticketing platforms performance ecosystem strategy transformation sentimental analysis}, doi={10.4108/eai.23-11-2023.2343248} }- Linlin Xu
Siva Shankar Ramasamy
Praveenkumar Somasundaram
Year: 2024
Sentimental Analysis for improving the standards of Digital Ticketing Platforms in China
IACIDS
EAI
DOI: 10.4108/eai.23-11-2023.2343248
Abstract
This article focuses on digital ticketing platforms and its impacts the industry. Due to Big data, we are able to connect the needs of producers, theatre operators and the audiences. Therefore, we can dramatically empower the industry with data. This research is based on the investigation into numerous ticketing platforms in China, professional experience as Theatre operators and producer for 20 years, interviews of theater managers of 40 venues in and outside China, and analysis of China’s performance ecosystem. This research would be referred when theater managers look at transforming their working strategy, work planning inside the theatre and work analysis through digital ticketing platforms. Digital platforms are steadily involving to the business ecosystem of this industry. The first part will be discuss about basics of China’s ticketing platform, audiences and transformation to digital platform, its function, impact and features.The recommendation system can be involved in numerous films, film related characteristics, including genre and more, to offer consumers individualized options. Culture based data can be identified through data such as stars, directors, and budget's popularity. The author aims to bring families back to theatres, finding out online or digital feedback system to improve the booking. Authors wanted to spread easier digital payment system for customers. This not only going to reach the Movie based but also cultural drama theatres.
