Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Looking beyond the script

190 views

Published on

he practical use of computational linguistics for story adaptation and project development. A short case study on the use of natural language processing techniques to support the screenplay adaptation of a popular young-adult novel series. Rather than trying to ‘crack the code’, Double Bishop supports development strategies by revealing hidden insights and bridging interpretive feedback with objective analysis and recommendations.
Speaker : Anton Andreacchio, Managing Director, Double Bishop/JumpgateVR

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Looking beyond the script

  1. 1. Looking beyond the script THE PRACTICAL USE OF NATURAL LANGUAGE PROCESSING FOR PROJECT DEVELOPMENT ANTON ANDREACCHIO, MANAGING DIRECTOR AND CO -FOUNDER, DOUBLE BISHOP
  2. 2. Case Study: Young Adult Novel Series Adaptation Double Bishop role was to provide a different perspective Works were to designed to complement and support the creative team Complex stakeholder environment Diverse range of inputs and influences Script
  3. 3. We want to truly understand the source material Not just what happens in the novels, but why it works Understand the unique story-telling method Appreciate the sophisticated metaphysical framework Explore the psychological underpinnings of principal characters But how do we do this objectively?
  4. 4. Natural Language Processing (NLP) NLP must ultimately extract meaning (‘semantics’) from text Began in the 1950s as the intersection of A.I. and linguistics Currently borrows from several, very diverse fields Recent reorientation to statistical NLP Nadkarni PM, Ohno-Machado L, Chapman WW. Natural language processing: an introduction. Journal of the American Medical Informatics Association : JAMIA. 2011;18(5):544-551. Artificial Intelligence Computer Science Computational Linguistics NLP
  5. 5. Selection of approaches used Analysis Approach Purpose Topic Latent Dirichlet Allocation Reveal hidden underlying topic structures Character Linguistic Inquiry and Word Count (LIWC) Analyze dialogue to reveal thoughts, feelings, personality and motivations Complexity Fractal Dimension Analysis Assess complexity of emotional intensity, exposition density and other factors Metaphysical Story Structure Mapping Comparison of film structural models vs alternative metaphysical models
  6. 6. Topic Analysis – Latent Dirichlet Allocation Reveal hidden topic structures Approach to treat each chapter as ‘bags of words’ Words fall into topic buckets through a sampling process Analysed the first novel, the series & script drafts
  7. 7. Topic Analysis – Latent Dirichlet Allocation Objective insight into topic structure Revealed several key connections that helped resolve creative blocks facing the project Enabled recommendations to be made based off feedback assessments DJD NF
  8. 8. Linguistic Inquiry & Word Count (LIWC) The words we use have tremendous psychological value Assess the dialogue used to infer psychological profile Epigraph from the novel analyzed. Our narrator is: - Type A - Unhappy - Disagreeable J.W., Boyd, R.L., Jordan, K., & Blackburn, K. (2015). The development and psychometric properties of LIWC2015. Austin, TX: University of Texas at Austin. DOI: 10.15781/T29G6Z Receptiviti.ai
  9. 9. Successful implementation If good ideas can come from anywhere, maybe it’s time that we started listening to A.I.

×