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Looking beyond the script
THE PRACTICAL USE OF NATURAL LANGUAGE
PROCESSING FOR PROJECT DEVELOPMENT
ANTON ANDREACCHIO, MANAGING DIRECTOR AND CO -FOUNDER, DOUBLE BISHOP
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
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?
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
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
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
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
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
Successful implementation
If good ideas can come from anywhere, maybe it’s
time that we started listening to A.I.

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Looking beyond the script

  • 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. 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. 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. 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. 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. 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. 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. 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. Successful implementation If good ideas can come from anywhere, maybe it’s time that we started listening to A.I.