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Session Ⅳ: Big Data Analysis

Unveiling the Enigma through Deep Learning : Exploring Multifaceted Human Personality Traits

첫 페이지 보기
  • 발행기관
    한국차세대컴퓨팅학회 바로가기
  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 통권
    The 9th International Conference on Next Generation Computing 2023 (2023.12)바로가기
  • 페이지
    pp.122-126
  • 저자
    Sadaf Hussain, Tanweer Sohail, Rabia Afzaal, Muhammad Adnan Khan
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A448133

원문정보

초록

영어
In response to the demand for impartial and precise personality testing, this study presents a unique multi-modal method for predicting personality traits in collaborative settings. Conventional approaches that depend on surveys frequently create biases, which has led to the investigation of raw, subconscious open writing as a rich source of personality information. This study uses deep learning algorithms in conjunction with the stream of consciousness storytelling approach to uncover personality traits by utilizing both textual and gestural data. We use BERT word embedding to improve contextual understanding and convolutional networks for the textual component. Compared to earlier methods, this methodology offers a more dependable way for text-based personality evaluation. Moreover, we present facial recognition as an extra factor for personality evaluation, providing a whole framework with a wide range of uses. We conducted studies in a collaborative setting to assess the effectiveness of our strategy, and we obtained encouraging findings. This multimodal method changes the way people collaborate and opens doors to a wide range of applications, such as mental health diagnosis, job interviews, and forensic investigations. A thorough grasp of personality features is expected to improve personalization and cooperation, leading to more efficient collaboration and improved decision-making.

목차

Abstract
I. INTRODUCTION
A. Five Factor Model of Personality
II. LITERATURE REVIEW
III. METHODOLOGY
A. Personality traits prediction through textual data:
B. Personality traits prediction through image data:
IV. RESULTS AND DISCUSSION
V. CONCLUSION
VI. REFERENCES

키워드

Personality Traits Convolutional Neural network Deep Learning word embedding

저자

  • Sadaf Hussain [ Department of Computer Science, Lahore Garrison University, Lahore, Pakistan. ]
  • Tanweer Sohail [ Department of Mathematics, University of Jhang, Jhang, Pakistan ]
  • Rabia Afzaal [ Department of Information Technology, Lahore Garrison University, Lahore, Pakistan ]
  • Muhammad Adnan Khan [ School of Computing, Skyline University College, Sharjah, UAE. And Riphah School of Computing and Innovation, Riphah International University, Lahore, Pakistan ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    한국차세대컴퓨팅학회 [Korean Institute of Next Generation Computing]
  • 설립연도
    2005
  • 분야
    공학>컴퓨터학
  • 소개
    본 학회는 차세대 PC 및 그 관련분야의 학술활동을 통하여 차세대 PC의 학문 및 기술발전을 도모하고 산업발전 및 국제협력 증진을 목적으로 한다.

간행물

  • 간행물명
    한국차세대컴퓨팅학회 학술대회
  • 간기
    반년간
  • 수록기간
    2021~2025
  • 십진분류
    KDC 566 DDC 004

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