Towards Job Screening and Personality Traits Estimation From Video Transcriptions
2021
The paper built on First Impression Challenge from Chalearn V2 Workshop
on Explainable Computer Vision Multimedia and Job Candidate Screening Competition
CVPR17 by focusing solely on Textual Input in contrast to other Challenge’s
participants who considered video or audio modalities. Therefore, the paper
aims to develop a new deep learning architecture capable of predicting human
personality traits and job interview from the video transcripts. Several
feature representations that involve statistical and deep learning have contrasted.
Our approach achieved the best score when text modality alone were employed,
yielding an average of 89% score in human personality traits and 89.10% value for
job interview. The research results will help companies and other organization
studying human personality to assess a human personality using a minimum
textual resources from the job candidates
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