The Holistic Archival Personality Profiling Model (HAPPM): Comprehensive Data Integration for Personality Analysis

The traditional approach to biographical profiling, predominantly reliant on limited and fragmented datasets, has frequently resulted in superficial personality understandings. This is largely due to an overemphasis on official records and notable events, neglecting the rich tapestry of everyd...

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Main Authors: Hutson, James, Ellsworth, Pace
Format: Article
Language:English
Published: INTI International University 2023
Subjects:
Online Access:http://eprints.intimal.edu.my/1887/
http://eprints.intimal.edu.my/1887/1/jods2023_30.pdf
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author Hutson, James
Ellsworth, Pace
author_facet Hutson, James
Ellsworth, Pace
author_sort Hutson, James
building INTI Institutional Repository
collection Online Access
description The traditional approach to biographical profiling, predominantly reliant on limited and fragmented datasets, has frequently resulted in superficial personality understandings. This is largely due to an overemphasis on official records and notable events, neglecting the rich tapestry of everyday experiences and personal interactions that significantly shape personalities. To address this shortcoming, this article introduces a multi-disciplinary methodology, The Holistic Archival Personality Profiling Model (HAPPM), which integrates a diverse array of archival materials, including personal correspondences, social media footprints, and family memorabilia. This approach involves digitizing various data forms, including handwritten documents, into machine-readable text, and then semantically classifying this data with biotags, chronotags, and geotags for organization within specific spatial and temporal contexts. Such comprehensive data aggregation establishes a more accurate "space-time continuum" for individuals, enhancing our understanding of their lives. The innovative aspect of HAPPM is the utilization of large language models to "converse" with the data, facilitating a more holistic representation of personalities. Preliminary results from applying HAPPM have shown its efficacy in uncovering previously unknown aspects of individual lives, offering insights into personal beliefs, daily routines, and social interactions. This has been validated through comparative analysis with existing biographical data, revealing a more complete and nuanced understanding of personalities. Therefore, HAPPM marks a significant advancement in personality profiling, capturing not only the grandiose but also the mundane, and offering a comprehensive tool for researchers and historians to explore the full spectrum of human experience
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spelling intimal-18872023-12-13T03:19:38Z http://eprints.intimal.edu.my/1887/ The Holistic Archival Personality Profiling Model (HAPPM): Comprehensive Data Integration for Personality Analysis Hutson, James Ellsworth, Pace Q Science (General) QA76 Computer software The traditional approach to biographical profiling, predominantly reliant on limited and fragmented datasets, has frequently resulted in superficial personality understandings. This is largely due to an overemphasis on official records and notable events, neglecting the rich tapestry of everyday experiences and personal interactions that significantly shape personalities. To address this shortcoming, this article introduces a multi-disciplinary methodology, The Holistic Archival Personality Profiling Model (HAPPM), which integrates a diverse array of archival materials, including personal correspondences, social media footprints, and family memorabilia. This approach involves digitizing various data forms, including handwritten documents, into machine-readable text, and then semantically classifying this data with biotags, chronotags, and geotags for organization within specific spatial and temporal contexts. Such comprehensive data aggregation establishes a more accurate "space-time continuum" for individuals, enhancing our understanding of their lives. The innovative aspect of HAPPM is the utilization of large language models to "converse" with the data, facilitating a more holistic representation of personalities. Preliminary results from applying HAPPM have shown its efficacy in uncovering previously unknown aspects of individual lives, offering insights into personal beliefs, daily routines, and social interactions. This has been validated through comparative analysis with existing biographical data, revealing a more complete and nuanced understanding of personalities. Therefore, HAPPM marks a significant advancement in personality profiling, capturing not only the grandiose but also the mundane, and offering a comprehensive tool for researchers and historians to explore the full spectrum of human experience INTI International University 2023-12 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1887/1/jods2023_30.pdf Hutson, James and Ellsworth, Pace (2023) The Holistic Archival Personality Profiling Model (HAPPM): Comprehensive Data Integration for Personality Analysis. Journal of Data Science, 2023 (30). pp. 1-13. ISSN 2805-5160 http://ipublishing.intimal.edu.my/jods.html
spellingShingle Q Science (General)
QA76 Computer software
Hutson, James
Ellsworth, Pace
The Holistic Archival Personality Profiling Model (HAPPM): Comprehensive Data Integration for Personality Analysis
title The Holistic Archival Personality Profiling Model (HAPPM): Comprehensive Data Integration for Personality Analysis
title_full The Holistic Archival Personality Profiling Model (HAPPM): Comprehensive Data Integration for Personality Analysis
title_fullStr The Holistic Archival Personality Profiling Model (HAPPM): Comprehensive Data Integration for Personality Analysis
title_full_unstemmed The Holistic Archival Personality Profiling Model (HAPPM): Comprehensive Data Integration for Personality Analysis
title_short The Holistic Archival Personality Profiling Model (HAPPM): Comprehensive Data Integration for Personality Analysis
title_sort holistic archival personality profiling model (happm): comprehensive data integration for personality analysis
topic Q Science (General)
QA76 Computer software
url http://eprints.intimal.edu.my/1887/
http://eprints.intimal.edu.my/1887/
http://eprints.intimal.edu.my/1887/1/jods2023_30.pdf