Revitalising Stagecraft: NLP-Driven Sentiment Analysis for Traditional Theater Revival

TL;DR

This paper discusses using NLP-driven sentiment analysis within a web platform to enhance traditional Indian theatre revival, aiming to boost audience engagement and preserve cultural heritage.

Contribution

It introduces FilmFrenzy, a web application integrating NLP techniques to analyze audience sentiment and support the revitalization of traditional Indian theatre.

Findings

NLP can effectively gauge audience sentiment towards traditional theatre.

The platform facilitates increased audience engagement and feedback.

Sentiment analysis helps identify development opportunities for theatre 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.