EMOTIONALLY INTELLIGENT STORYTELLING THROUGH AI AND ML USING EMOTIONAL ARCS OF MOTION PICTURE THAT RESONATE WITH AUDIENCES: EMOTIONALLY INTELLIGENT STORYTELLING THROUGH AI AND ML

Prashanth Ramappa

Authors

Prashanth Ramappa SSBM

Keywords:

Keywords: Emotional AI, Emotional Arc, Emotions, NLP, Machine learning, Shape of Stories, Movie Script.

Abstract

Film and moviemaking production are an intricate process, mainly decision-making among its producers, Motion picture directors, and writers, especially for script selection. Movie or Filmmaking is a huge investment, it takes more of a resource of Capital, Manpower & Creativity. Traditional script evaluation methods: almost entirely subjective measurements; reliant on the vast and varied experiences of industry professionals (style) — thus inevitably creates bias disparities in decision making, often discounting new or unique narratives. Film producer should be clear whether the narrative is appropriate for the audience's typical emotional journey. Understanding emotions in scripts is a difficult and complicated task. Our Approach involved, combined the concept of Shapes of stories, Emotional Analysis using Natural Language Processing (wheel of emotion) and ML Clustering technique to solve challenge. Our Methodology involves the use of subtitle data to demystify the emotions in the story. We also apply NRCLex, a lexicon-based method, to associate with eight basic emotions and cluster similar movies within the six main story shapes. Our findings indicate that stories generally follow the six fundamental forms. We also found that movies in the "Man in the Hole" category where the hero faces an unexpected challenge, overcomes his fear, and succeeds in becoming a leader have the highest box office and popularity success.

Author Biography

Prashanth Ramappa, SSBM

As an innovative strategic leader with a successful 20-year journey in the realm of Data Science, Data Engineering, IT, and Digital
Transformation. My rich blend of strategic acumen and technical expertise is enhanced by a Doctorate in Emotional AI, which sets me apart in the rapidly evolving world of AI & ML. With over a decade of hands-on experience in AI & ML, my expertise spans Natural
Language Processing (NLP), Deep Learning, Generative AI (Large Language Models), and Knowledge Graphs. I've proven my
proficiency in designing, developing, and deploying AI & ML solutions, consistently surpassing organizational goals.
I've led large, geographically diverse teams and managed multimillion-dollar budgets, demonstrating a steadfast commitment to a people-centric approach, diversity, equity, and inclusion. My key achievements include the implementation of AI strategies that boosted operational efficiency by 30% and the development of ML models that resulted in annual savings of over $2M.

In my roles spanning diverse sectors such as Retail, Merchant Analytics, Customer Analytics, Healthcare, and Telecom, I've
consistently driven Digital Transformation initiatives to success. My professional journey is marked by a deep commitment to fostering innovation, building exceptional teams, and exceeding expectations in the dynamic landscapes of Data Science, Data Engineering, and Generative AI.

EMOTIONALLY INTELLIGENT STORYTELLING THROUGH AI AND ML USING EMOTIONAL ARCS OF MOTION PICTURE THAT RESONATE WITH AUDIENCES