Revitalising Stagecraft: NLP-Driven Sentiment
Analysis for Traditional Theater Revival
Abstract— This paper explores the application of FilmFrenzy, a
python based ticket booking web application, in the revival of
traditional Indian theatres. Additionally, this research paper
explores how NLP can be implemented to improve user
experience. Through clarifying audience views and pinpointing
opportunities for development, FilmFrenzy aims to promote
involvement and rejuvenation in India's conventional theatre
scene. The platform seeks to maintain the relevance and vitality
of conventional theatres by bridging the gap between audiences
and them through the incorporation of contemporary
technologies, especially NLP. This research envisions a future in
which technology plays a crucial part in maintaining India's rich
theatrical traditions, thereby contributing to the preservation
and development of cultural heritage. With sentiment analysis
and natural language processing (NLP) as essential instruments
for improving stagecraft, the research envisions a period when
traditional theatre will still be vibrant.
Keywords—NLP, Traditional Theatre, Theatre Revival, Indian
Theatre, Online Booking, Web Application, Digital Marketing,
User-Centric Design, Sentiment Analysis
I. INTRODUCTION
India's traditional theatres are finding it difficult to adjust
to the rapidly changing digital entertainment market. The
quick development of technology has changed audience
tastes and opened up new avenues for creativity and
revitalization [1]. In the middle of this changing paradigm,
FilmFrenzy—a web-based ticketing tool that uses Natural
Language Processing (NLP) to suggest theatres and rekindle
Indian theatre culture—emerges as a viable remedy. This
study addresses the urgent need to close the gap between
classic art forms and contemporary audiences by exploring
the transformative potential of FilmFrenzy as a catalyst for
the restoration of conventional theatres. This research intends
to provide insights into the integration of technology to
protect and promote cultural heritage by investigating how
FilmFrenzy can go beyond its traditional role and function as
a flexible tool for promoting and maintaining traditional
theatre productions [2]. This study uses a problem-oriented
methodology to clarify how important FilmFrenzy is to
managing the digital entertainment consumption revolution
while promoting the ongoing relevance and vitality of
traditional theatre in India.
A. Research Objective
The first research objective centres on the elements of
design that are essential for effectively reaching a larger
audience through traditional theatre performances. In
addition to ticket sales, the study attempts to use sentiment
analysis and natural language processing (NLP) to interpret
audience reactions in reviews, providing insightful
information about the positive and negative aspects of
traditional theatre [3].
The study expands on the original concept by addressing
the essential elements and capabilities required to satisfy the
varied requirements of conventional theatres and
theatregoers. FilmFrenzy becomes a dynamic platform for
ticket sales and an immersive hub for audience participation
and feedback analysis, therefore integrating NLP skills
becomes essential [4]. The study investigates how a web
application might give users a more immersive and engaging
theatre experience by incorporating NLP-driven sentiment
analysis [5]. Through a comprehension of the complex
emotions conveyed in reviews, FilmFrenzy can customize
recommendations, improving the whole cinematic
experience.
B. Thesis Statement
In the face of digital revolutions and shifting audience
dynamics, this research aims to position FilmFrenzy, an
online ticketing platform, as a crucial instrument in reviving
ancient theatres in India [6]. The study employs a problem-
oriented methodology to investigate complex research
inquiries, such as how to effectively market traditional theatre
performances, how to integrate essential features to satisfy
the needs of various stakeholders, and how to use sentiment
analysis and natural language processing (NLP) to improve
audience engagement [7]. The principal aim is to cultivate a
mutually beneficial relationship between traditional theatres,
FilmFrenzy, and audiences by going beyond the typical
transactional aspect of the platform.
II. LITERATURE REVIEW
A. Introduction: Understanding the Challenge
The advent of internet ticket purchasing platforms has
signalled a paradigm shift in how people interact with cultural
activities in the modern entertainment scene [8][9]. These
digital platforms' ease of use and accessibility have
completely changed how tickets are purchased, changing
audience expectations and behaviour in the process [10].
Before online ticketing became popular, customers were used
to waiting in line at actual counters to buy tickets—a process
Saikat Samanta
Department of Computer Science and
Engineering, JIS College of Engineering
Kalyani, India
Email Id: s.samanta.wb@gmail.com
Shibam Dutta
Department of Computer Science and
Engineering, JIS College of
Engineering
Kalyani, India
Email Id: shibamd86@gmail.com
Satayajay Behuria
Department of Computer Science and
Engineering, JIS College of Engineering
Kalyani, India
Email Id: satyajaybehuria@gmail.com
Soujit Das
Department of Computer Science and
Engineering, JIS College of Engineering
Kalyani, India
Email Id: soujitdas30@gmail.com
Soumik Saha
Department of Computer Science and
Engineering, JIS College of Engineering
Kalyani, India
Email Id: Soumiksaha723@gmail.com
Saptarshi Karmakar
Department of Computer Science and
Engineering, JIS College of Engineering
Kalyani, India
Email Id: skr66175@gmail.com
that presented scheduling and logistical difficulties [11]. But
in the early 2000s, the emergence of digital trailblazers like
MakeMyTrip, Yatra, and Clear Trip brought in a new era of
efficiency and ease for ticket buying across a variety of
industries, including entertainment and travel [12].
The exponential rise in smartphone usage and internet
accessibility in India has contributed to this shift by making
it easier for online ticketing services to become widely used.
However, in the middle of the entertainment industry's digital
revolution, conventional theatre has several obstacles in
keeping its relevance and drawing viewers [13][14]. The
appeal of digital video streaming platforms that are available
for on-demand viewing, along with their cost and ease of use,
presents a significant threat to traditional theatre systems
[15]. Empirical data showing a drop in attendance at
traditional theatre plays in recent years highlights this shift in
consumer tastes [16]. Moreover, the emergence of social
distancing rules in reaction to the worldwide epidemic has
made the situation of conventional theatres worse, although
digital platforms have prospered in the virtual world [17]. It
is crucial to investigate the nexus between traditional theatre
and digital innovation in this dynamic and changing
environment, looking for ways to use online ticketing
platforms as a spur for sustainability and revival [18].
B. Online Ticket Booking System
The advent of internet cafés and online travel agencies
(OTAs) such as MakeMyTrip and Yatra marked the
beginning of India's online ticket-booking adventure in the
early 2000s [19]. These platforms began by concentrating on
travel and lodging, then over time, they began to include
movie tickets, bus reservations, and event planning [20]. The
use of smartphones and mobile internet connectivity has
increased dramatically over the last ten years, which has
fueled the expansion of specialised online ticketing services
like BookMyShow and Paytm [21].
Compared to more conventional means, these user-
friendly apps offered convenience, real-time booking, and a
greater range. According to Research and Markets research
from 2023, the Indian online ticketing market was valued at
USD 13.2 billion in 2023 and is expected to rise at a
substantial annual growth rate of 17.4% to reach USD 31.2
billion by 2028 [22] [23]. Many factors contribute to this
growth. Convenient ticketing options are in demand as
consumer spending on leisure activities has surged due to
rising income levels. Online reservations are becoming the
most popular option for many people because of rising
internet penetration and smartphone usage [24]. More events,
films, and travel possibilities are available on online
platforms, and booking is easier and faster [1].
C. Challenges Facing Traditional Theatres
For traditional theatres, the appeal of the big screen and
on-demand streaming services presents a serious challenge.
A troubling picture is painted by a 2022 report by the Theatre
Communications Group, which shows a 23% drop in theatre
attendance in India between 2012–2013 and 2019–2020 [2]
[6]. At least in part, this declining tendency can be ascribed
to the accessibility and low cost of digital entertainment
options. Second, conventional theatre works are frequently
restricted by financial restraints [3]. Setting extravagant plays
and musicals costs a lot of money in terms of clothes, sets,
and paying actors [4] [5]. This might make it challenging to
match the high calibre of production and special effects
frequently found in films and TV series. Thirdly, another
difficulty is changing audience preferences [6] [7]. Digital
media's fast-paced format may have conditioned viewers to
expect continual stimulation and rapid fulfilment. Even while
it provides a distinctive and engaging experience, traditional
theatre cannot always suit this choice [8] [9]. Digital
platforms cannot duplicate the unique attributes that
traditional theatre offers.
On-screen encounters cannot match the impression of
authenticity and immediacy that is created by live, unedited
performances [18]. Furthermore, going to a live performance
creates a shared, communal experience that encourages a
sense of participation and connection that is frequently
lacking in solitary digital consumption [10] [11]. In addition,
theatre may accommodate specialised interests and create a
sense of community among like-minded people, providing a
higher degree of artistic diversity and experimentation than
mainstream media [12]. Thus, despite certain obstacles,
traditional theatre can prosper by embracing innovation,
investigating various storytelling formats, and emphasising
the special and priceless qualities of live performance that
digital platforms just cannot match [13] [14].
D. Application of NLP and Sentiment Analysis
NLP and sentiment analysis are two new methods that
provide important information on preserving cultural heritage
[15] [16]. Research such as "Sentiment Analysis of Cultural
Heritage Landscape Elements Using Big Data of Online
Comments" shows how visitor preferences and areas for
improvement in cultural places such as gardens or museums
can be found by examining online evaluations. Similar
possibilities exist for conventional theatre with this
technology [17] [18]. NLP analysis of audience reviews can
be used to determine the sentiment of the audience by
analysing the emotional reaction to individual performances
and highlighting elements that succeed or fail [19].
Next, by examining the language used to extract recurrent
motifs and audience interpretations of the play or
performance, might assist in identifying emergent themes
[20] [21]. Finally, it can assist theatre authorities in deriving
possible audience demographics by analysing linguistic
patterns in reviews and providing insights into demographics
[22] [23]. This allows them to adjust their marketing efforts
accordingly. But there are difficulties.
The subjective quality of theatre, along with possible
linguistic and cultural quirks, can make reliable sentiment
analysis difficult [24]. Furthermore, internet reviews could be
biased towards people who have strong opinions and do not
accurately reflect the whole public [1] [2]. NLP provides
theatres with insightful information despite these obstacles
[3]. Theatres can obtain a better understanding of audience
perceptions and make critical decisions about upcoming
plays, marketing campaigns, and audience engagement
programmes by combining automated sentiment analysis
with traditional feedback methods [4].
E. Case Studies: The Old Vic and Broadway HD
Traditional Broadway theatres struggle with low
attendance, but BroadwayHD provides an interesting case
study for digital rebirth. Through the provision of an
extensive global library of superior recordings, the audience
is extended beyond geographical boundaries, drawing in
younger audiences and viewers from remote locations. Data
backs up this claim: a Broadway League study from 2023
showed a 45% rise in theatrical attendance worldwide via
streaming services like BroadwayHD. Revenue-sharing
arrangements also guarantee financial gains for theatres,
which may help to finance shows and revitalise the sector [5].
BroadwayHD is a useful intermediary that fosters respect for
classic theatre and may even encourage future live
attendance, even though it cannot fully replace the live
experience [6].
The Old Vic's innovative collaboration with
Ticketmaster demonstrates how AI-driven ticketing
platforms can bring back the glory days of conventional
theatre. They solve two major problems by using algorithms
to optimise pricing and availability: filling seats and
maximising income. This strategy is supported by data:
according to 2022 research by The Audience Agency,
theatres that used dynamic pricing experienced an average
15% boost in ticket sales [7]. Additionally, AI-enabled
targeted marketing and personalised audience segmentation
can enhance the user experience overall by streamlining the
ticket purchasing process and accommodating individual
preferences [8]. Even if it is not without its detractors, this
data-driven strategy is a viable way for conventional theatres
to draw in new customers and hold on to their current
clientele in the digital era.
III. METHODOLOGY
A. Research Approach
To obtain an extensive understanding of the ticket
booking domain, a great deal of study was done on user
requirements, industry trends, and current online ticket
booking systems. This research served as the basis for
organising the development process and determining the
essential features and functionalities needed for the website.
Creating a thorough system architecture and user interface
design were tasks during the design phase [9]. The database
management system was part of the system architecture, in
addition to front-end and back-end parts. The user interface
design sought to give users an easy-to-use and aesthetically
pleasing experience, drawing inspiration from contemporary
design concepts [10]. Developing a successful ticket booking
app requires a comprehensive research methodology to
ensure it meets user needs and thrives in the competitive
market.
B. Development and Implementation
Implementing the intended system architecture and user
interface design was a part of the development process. While
back-end development used Python and Flask as well as other
programming languages and frameworks, front-end
development made use of HTML, CSS, and JavaScript—
agile and iterative development methods allowed for ongoing
customer input enhancement and integration. Converting the
concept and development into a workable online ticket-
buying website was the main goal of the implementation
phase.
1) Development Milestones
Phase 1: Project Planning and Requirement
Gathering: Define project goals, identify target
audience, and gather user requirements.
Phase 2: System Design and Architecture: Design
system architecture, components, and interfaces.
Phase 3: Development and
Implementation: Implement core functionalities,
user interface, and database interactions.
Phase 4: Testing and Quality Assurance: Conduct
thorough testing to ensure functionality, user
experience, and security.
Phase 5: Deployment and Launch: Launch the
platform on a suitable hosting environment and
promote it to the target audience.
C. System Design
Several Python-based tools have been used to develop the
desired system and front-end design, that provides the users
with a seamless experience. Flask is a lightweight and
powerful web framework written in Python that provides
tools, libraries, and patterns to build web applications [11]. It
has a modular design, which means that it can be extended
with various libraries and plugins as per project requirements.
Flask supports SQLAlchemy and WTForms, which makes it
easy to connect Python objects to relational databases and
create forms for the web application. Flask SQLAlchemy is a
library that provides a set of high-level APIs for connecting
Python objects to relational databases [12]. It is an ORM
(Object-Relational Mapping) that makes it easier to manage
databases with Python code. It allows the developer to work
with database tables using Python classes, objects, and
methods. Flask SQLAlchemy is a library that provides a set
of high-level APIs for connecting Python objects to relational
databases. It is an ORM (Object-Relational Mapping) that
makes it easier to manage databases with Python code. It
allows the developer to work with database tables using
Python classes, objects, and methods.
1) NLP Integration
By incorporating Natural Language Processing (NLP)
techniques into the system architecture, the platform's
usability and functionality are improved. Utilising Python
modules like spaCy and NLTK (Natural Language Toolkit),
the system applies natural language processing (NLP) to
analyse textual data, particularly reviews and input from the
audience. After users submit reviews, the system uses natural
language processing (NLP) algorithms to parse and extract
sentiment-related information from the text. This allows
sentiments to be automatically classified as positive,
negative, or neutral. Theatre management uses this sentiment
analysis feature to guide decision-making processes in
addition to offering insightful information about how
audiences view conventional theatre productions. Moreover,
the use of natural language processing (NLP) algorithms
enhances the platform's interaction functionalities by
permitting attributes like sentiment analysis-driven
personalised suggestions [13]. Through sentiment analysis of
user feedback, the system can customise recommendations
for future performances to suit personal tastes and feelings
[14]. By improving user happiness and engagement, our
tailored recommendation system strengthens the bond
between patrons and conventional theatres.
2) System Details
a) User Management
Registration and Login: Users can create accounts
with basic information and login credentials.
Profile Management: Users can edit their profile
details, including name, contact information, and
preferences.
Coin System: Users earn coins through various
activities like booking tickets, writing reviews, and
participating in forums. Coins can be used for
discounts on future bookings or special promotions.
b) Movie Browsing and Discovery
Advanced Search: Users can search for movies by
title, genre, director, cast, keywords, year of release,
or rating.
Filters: Users can filter movies by popularity,
release date, genre, language, and available show
timings.
Curated Collections: Film Frenzy curates thematic
collections based on various criteria, such as award
winners, critically acclaimed films, and independent
cinema.
Personalised Recommendations: The system
recommends movies based on individual user
preferences, ratings, and viewing history.
c) Venue Search and Information
Location-based Search: Users can search for venues
by name or location, with map integration for
convenient navigation.
Venue Details: Each venue page displays
information like address, directions, amenities,
seating capacity, photos, and accessibility features.
Available Shows: Users can view all available
shows for a particular venue, including details like
movie titles, show timings, and ticket prices.
d) Scalability and Performance (Future Prospects)
Cloud-based Infrastructure: Film Frenzy will
leverage cloud platforms to dynamically scale
resources based on user traffic, ensuring smooth
operation even during peak demand.
Caching Mechanisms: Static content is cached to
improve loading speeds and reduce server load.
Performance Optimization: The system is constantly
monitored and optimised for efficiency and
responsiveness.
D. Future Consideration and Innovations
AI-powered Personalization: Utilise AI algorithms
to personalise movie recommendations, tailor
content based on individual preferences, and offer
curated viewing experiences.
VR and AR Integration: Explore the potential of VR
and AR technology to create immersive movie
trailers, virtual screenings, and interactive
experiences.
Mobile App Development: Develop native mobile
apps for iOS and Android platforms, offering
seamless booking experiences and on-the-go access
to movie information.
IV. SYSTEM FUNCTIONALITIES
A. Primary Functions
Admin Panel: The Admin Panel allows the administrator
to manage the application. The admin can add/edit/delete
movie shows, venues, and users. The admin can also view the
list of bookings made by users.
User Panel: The User Panel allows the user to browse
movies, view show timings, and book tickets. Users can
search movies by title or genre and filter by venue or date.
Users can also view their booking history, see/edit their
profile, and rate the shows.
Authentication and Authorization: The application has a
login page where users can authenticate themselves. The
admin panel is protected and can only be accessed by the
admin after authentication.
Ticket Booking: Users can select the movie show, venue,
and show-timing and book tickets for the show. The
application supports multiple ticket bookings for the same
show, and once the show is completely houseful, the booking
stops for that particular show.
Sentiment Analysis: NLP integration's main purpose is to
analyse textual data from user evaluations to get sentiment
insights. When a user submits a review, the system uses
natural language processing (NLP) techniques to interpret
and extract sentiment-related information from the content.
The automated classification of sentiments as good, negative,
or neutral is made possible by this sentiment analysis
functionality.
B. Secondary Functions
The website has effectively integrated several
functionalities to streamline the process of purchasing tickets.
Ticket booking and payment processing, user profile
management, event listing and search, user registration and
authentication, ticket cancellation and refunds, and
integration with third-party services (where appropriate)
were some of these features. To guarantee that every feature
worked and was usable, they were all meticulously
implemented and tested.
Movie Management: Add, edit, or delete movie
listings, including title, description, genre, release
date, poster, and trailers.
Venue Management: Create, edit, and manage
venues, including address, seating
capacity, amenities, and accessibility information.
Show Management: Define show timings for each
movie across different venues, including
date, time, and ticket prices.
User Management: Add, edit, and manage user
accounts, including viewing booking
history, modifying user roles, and handling
inquiries.
Reporting and Analytics: Access detailed reports on
ticket sales, user activity, and venue performance to
gain valuable insights and optimise operations.
Movie Browsing: Search for movies by
title, genre, director, cast, or keywords, and explore
curated collections and recommendations.
Show Timings and Availability: View show timings
for all movies across different venues, check
available seats, and filter by date, time, and price.
Ticket Booking: Select the desired
show, venue, and seating preference (including seat
slotting), and purchase tickets using secure payment
gateways.
Booking History: View a complete history of past
and upcoming bookings, manage reservations, and
cancel tickets with an active cancellation system.
Profile Management: Update personal
information, change passwords, and manage
preferences for notifications and recommendations.
Movie Reviews and Ratings: Share movie
reviews, rate films, and read other user reviews to
make informed decisions.
These features, combined with a user-friendly
interface and intuitive navigation, empower users to
seamlessly discover movies, book tickets, and
engage with the FilmFrenzy community, enriching
the overall movie-going experience.
C. Tech Stack
FilmFrenzy leverages a carefully chosen combination of
technologies to deliver a robust, user-friendly, and secure
online movie ticketing platform. Here's a detailed breakdown
of the tech stack, including justifications for each choice:
1) Front-End
HTML: The foundation of the website, structuring and
organising the content.
Justification: HTML is the standard markup language for web
pages and provides a clear and well-understood foundation
for building the website.
CSS: Defines the visual appearance of the website, including
layout, colours, fonts, and animations.
Justification: CSS allows for consistent and flexible styling
across different devices and screen sizes, ensuring a visually
appealing and user-friendly experience.
Bootstrap: A popular CSS framework for responsive web
development.
Justification: Bootstrap provides pre-built components and
styles that make development faster and easier, ensuring
consistent and responsive design across different devices and
screen sizes.
JavaScript: Used for interactive elements and dynamic
content.
Justification: JavaScript adds interactivity and dynamism to
the website, enhancing the user experience and making the
platform more engaging.
2) Back-End
Flask: A lightweight and flexible Python web framework for
building web applications.
Justification: Flask's lightweight nature and modular design
make it ideal for building efficient and maintainable web
applications. Its simplicity allows for faster development,
especially in the initial stages of the project.
Jinja: A template engine used in conjunction with Flask to
generate dynamic web pages.
Justification: Jinja simplifies the process of creating dynamic
content by separating logic and presentation. This makes the
code cleaner, easier to maintain, and less prone to errors.
3) NLP
NLTK: To carry out Natural Language Processing (NLP)
operations, specifically sentiment analysis on user-generated
reviews and feedback, these libraries are integrated into the
backend of FilmFrenzy. FilmFrenzy can precisely assess the
sentiment expressed in user reviews thanks to the powerful
tokenization, part-of-speech tagging, and sentiment analysis
features offered by NLTK and spaCy.
4) Database
SQLite: A lightweight, embedded database engine suitable
for smaller applications.
Justification: SQLite's simplicity and ease of use make it ideal
for the initial development stages of FilmFrenzy. Its
embedded nature eliminates the need for a separate database
server, simplifying deployment and management.
SQLAlchemy: An object-relational mapper (ORM) for
Python that simplifies interaction with databases.
Justification: SQLAlchemy provides a Pythonic interface for
working with databases, reducing the need for writing raw
SQL queries and making development faster and less error-
prone. It also simplifies data manipulation and retrieval.
5) Security
Flask-Security: A Flask extension that provides user
authentication and authorization mechanisms.
Justification: Flask-Security ensures that only authorised
users can access sensitive information and functionalities
within the platform. This protects user data and prevents
unauthorised access to critical resources.
Werkzeug: A WSGI utility library used by Flask that
provides security features like session management and
CSRF protection.
Justification: Werkzeug's security features help to mitigate
various security vulnerabilities and protect the website from
common attacks.
Figure 1: FilmFrenzy ER Diagram
V. PERFORMANCE EVALUATION
We assessed the Online Ticket Booking Website's
performance to gauge its effectiveness and responsiveness.
We tested the website's overall scalability, concurrent user
request handling capacity, and loading speed. Fast reaction
times and simultaneous support for numerous users were key
design objectives for the system. We assessed the Online
Ticket Booking Website's performance to gauge its
effectiveness and responsiveness. We tested the website's
overall scalability, concurrent user request handling capacity,
and loading speed. Fast response times and simultaneous
support for numerous users were priorities when designing
the system.
A. Objective
The primary objective of this performance evaluation was to
assess the effectiveness and responsiveness of the online
ticket booking website. Specifically, the evaluation aimed to
measure:
Scalability: The ability of the system to handle an
increasing number of users and requests without
significant performance degradation.
Concurrent User Request Handling Capacity: The
maximum number of users the system can support
simultaneously without experiencing bottlenecks or
delays.
Loading Speed: The average time it takes for the
website to load pages and respond to user
interactions fully.
B. Methodology
The performance evaluation employed a combination of
testing methods to assess the system's capabilities
comprehensively:
Load Testing: Simulated realistic user traffic patterns to
gauge the system's response under varying load conditions.
This involved gradually increasing the number of concurrent
users and monitoring performance metrics like response time
and server resource utilisation.
Stress Testing: Simulated extreme load scenarios to identify
potential bottlenecks and assess the system's ability to handle
peak demand. This involved exceeding anticipated user
traffic and observing system behaviour.
Benchmarking: Compared the system's performance with
industry benchmarks and competitor websites to identify
areas for improvement and optimization.
C. Evaluation Criteria
The following key performance indicators (KPIs) were used
to evaluate the system's performance:
Response Time: The average time it takes for the
server to respond to a user request.
Throughput: The number of requests the system can
process per unit of time.
Resource Utilisation: The percentage of CPU,
memory, and other resources utilised by the system.
Error Rate: The percentage of user requests that
result in errors.
D. Result
Several important factors were carefully considered when
assessing the system's performance to determine its
operational effectiveness and suitability for practical
implementation. The evaluation turned up these crucial
findings:
Scalability Assessment: The system was put through
a rigorous testing process to determine its
scalability—that is, whether it can handle changing
user loads while still operating at peak performance
levels. The system demonstrated excellent scaling
characteristics through thorough stress testing under
high-traffic settings. The system proved resilient in
the face of increasing user loads by effectively
handling the increased demand without noticeably
degrading performance. This strong scalability
characteristic emphasises how the system can easily
adjust to changing user needs, guaranteeing
continuous service delivery during moments of high
usage.
Concurrent User Request Handling Capacity:
Evaluating the system's ability to manage several
concurrent user requests was a crucial component of
the review. The system's ability to handle multiple
concurrent requests was carefully examined using
extensive load-testing methodologies. The
outcomes demonstrated that the system is capable of
handling a significant number of simultaneous user
requests with good efficiency. Although the precise
threshold may differ based on the underlying
software and hardware architecture, the system
performed admirably in handling multiple requests
at once with no noticeable hiccups. This feature is
encouraging for guaranteeing a seamless and
continuous user experience, especially at times of
increased activity.
Loading Speed Analysis: The system's web page
loading time was carefully assessed to determine
how responsive and user-friendly it was. After
conducting thorough evaluations of page load times
for a range of user situations and network
configurations, it was found that the system
consistently provided quick loading times. For the
majority of users, pages loaded quickly, which
enhanced user satisfaction and allowed for easy
platform navigation. In addition to improving user
happiness, the faster loading times help quicken the
booking process, guaranteeing quick transaction
processing and reducing wait times for users.
Figure 2: FilmFrenzy Home Page
Figure 3: FilmFrenzy User Window
VI. CONCLUSION
In summary, this study has looked at how digital
platforms, specifically the web application FilmFrenzy,
might help revive India's traditional theatre systems. The
research has emphasised the need to tackle the difficulties
conventional theatres encounter in adjusting to evolving
audience dynamics and technological breakthroughs by
employing a problem-oriented methodology. This study has
shed light on FilmFrenzy's ability to bridge the gap between
conventional and modern theatre experiences by examining
its diverse role and providing useful insights into audience
engagement and promotion tactics. The study's
transformative potential of FilmFrenzy as a catalyst for the
revival of Indian theatrical traditions is one of its main
conclusions.
This study stands out for its empirical analysis of the
real-world application of a web-based platform, FilmFrenzy,
as a catalyst for the resurgence of traditional theater, whereas
previous research efforts may have mostly concentrated on
theoretical frameworks or conceptual discussions. Through
the application of a problem-oriented methodology, this
study not only pinpoints the difficulties that traditional
theaters encounter, but it also offers concrete answers by
leveraging digital technologies.
FilmFrenzy is well-positioned to guide traditional
theatres towards a bright future by acting as a model of
creativity and adaptability. Through the incorporation of
web-based paradigms into conventional theatre activities,
FilmFrenzy facilitates the ongoing significance and
resuscitation of Indian theatrical customs in the digital era.
This study provides insightful information on how to
preserve cultural heritage through the use of digital platforms,
assuring the survival and prosperity of traditional theatres for
future generations.
REFERENCES
[1] Attri, S., 2020. Folk Theater and History: Constructing Indian Identity
through The Khyal of Amar Singh Rathore. The Journal of Indian and
Asian Studies, 1(01), p.2050004.
[2] Aranyossy, M., 2022, September. Technology adoption in the digital
entertainment industry during the COVID-19 pandemic: An extended
UTAUT2 model for online theatre streaming. In Informatics (Vol. 9,
No. 3, p. 71). MDPI.
[3] Avanzini, F., Baratè, A., Haus, G., Ludovico, L.A. and Ntalampiras,
S., 2020, July. Preservation and Promotion of Opera Cultural Heritage:
The Experience of La Scala Theatre. In International Conference on
Human-Computer Interaction (pp. 325-337). Cham: Springer
International Publishing.
[4] Budzinski, O., Gaenssle, S. and Lindstädt-Dreusicke, N., 2021. The
battle of YouTube, TV and Netflix: an empirical analysis of
audiovisual market competition. SN Business & Economics, 1(9),
p.116.
[5] Buljubašić, I., Mijoč, J. and Jobst, I., 2020, June. The effectiveness of
unconventional marketing in theatres: Top management theatre
perspective. In the 9 International Scientific Symposium (p. 130).
UNIVERZA V MARIBORU.
[6] Byrne, B., Krishnamoorthi, K., Ganesh, S. and Kale, M.S., 2020.
TicketTalk: Toward human-level performance with end-to-end,
transaction-based dialogue systems. arXiv preprint arXiv:2012.12458.
[7] DG, P.K. and KMB, P., 2020. Consumers’ Predilection Towards
Online Movie Ticket Booking System (Concerning BookMyShow.
com in Davangere city). Studies in Indian Place-Names.
[8] Endres, H., Huesig, S. and Pesch, R., 2022. Digital innovation
management for entrepreneurial ecosystems: services and
functionalities as drivers of innovation management software adoption.
Review of Managerial Science, pp.1-22.
[9] Fajardo, C., Divera, M.F., Villarias, J., Ponte, R., Abendan, C.F. and
Kilag, O.K., 2023. Reviving Tradition: A Historical Analysis of the
Transition from Ritual to Realism in Philippine Theater. Excellencia:
International Multi-disciplinary Journal of Education (2994-9521),
1(6), pp.410-419.
[10] Fajardo, C., Divera, M.F., Villarias, J., Ponte, R., Abendan, C.F. and
Kilag, O.K., 2023. Reviving Tradition: A Historical Analysis of the
Transition from Ritual to Realism in Philippine Theater. Excellencia:
International Multi-disciplinary Journal of Education (2994-9521),
1(6), pp.410-419.
[11] Ford, V. and Mandviwalla, M., 2020. Can Digital Engagement
Transform the Performing Arts?
[12] Foris, D., Crihalmean, N. and Foris, T., 2020. Exploring the
environmental practices in hospitality through booking websites and
online tourist reviews. Sustainability, 12(24), p.10282.
[13] Hennig-Thurau, T., Ravid, S.A. and Sorenson, O., 2021. The
economics of filmed entertainment in the digital era. Journal of
Cultural Economics, 45, pp.157-170.
[14] Islam, G.Z., Zinnia, I.J., Hossain, F., Rahman, R., Juman, A. and
Emran, A.B., 2020. Implementation of an efficient web-based movie
ticket purchasing system in the context of Bangladesh. vol, 19, pp.828-
836.
[15] Li, F., 2020. The digital transformation of business models in the
creative industries. Arts Management Quarterly, 134, pp.6-14.
[16] Li, Q., Li, Z. and Han, J., 2021. A hybrid learning pedagogy for
surmounting the challenges of the COVID-19 pandemic in performing
arts education. Education and Information Technologies, 26(6),
pp.7635-7655.
[17] McDonald, S., 2020. Technology theatre. Centre for International
Governance Innovation, 13.
[18] Rohaini, R., Wahyuningdiah, K. and Ariani, N.D., 2020. The
Challenges of Legal Protection on Traditional Cultural Expressions of
Lampung. Fiat Justisia: Jurnal Ilmu Hukum, 14(3), pp.221-232.
[19] Solidoro, A. and Viscusi, G., 2020. Digital transformation and business
model innovation in the film industry: The case of movie day. it.
Technology and Creativity: Production, Mediation and Evaluation in
the Digital Age, pp.239-265.
[20] SONI, S., Origin, Development, Decline and Revival of English
Drama. J. Appl. Soc. Sci, 5(12), pp.2480-2487.
[21] Tsioustas, C., Petratou, D., Kaliakatsos-Papakostas, M., Katsouros, V.,
Kastritsis, A., Christantonis, K., Diamantaras, K. and Loupis, M., 2020.
Innovative natural language processing and digital media applications
in theatre and performing arts. ENTRENOVA-ENTerprise REsearch
InNOVAtion, 6(1), pp.84-96.
[22] Van Laar, E., Van Deursen, A.J., Van Dijk, J.A. and De Haan, J., 2020.
Measuring the levels of 21st-century digital skills among professionals
working within the creative industries: A performance-based approach.
Poetics, 81, p.101434.
[23] Yamuna, S.M., 2020. CUSTOMER PREFERENCE AND
SATISFATION TOWARDS ONLINE MOVIE TICKET BOOKING
SYSTEM. Purakala (UGC Care Listed Journal, 31(16), pp.253-266.
[24] Yin, S., Zhang, N., Ullah, K. and Gao, S., 2022. Enhancing digital
innovation for the sustainable transformation of manufacturing
industry: a pressure-state-response system framework to perceptions of
digital green innovation and its performance for green and intelligent
manufacturing. Systems, 10(3), p.72.
