Automatic Personality Evaluation from Transliterations of YouTube Vlogs Using Classical and State-of-the-Art Word Embeddings

9Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

Abstract

The study of automatic personality recognition has gained attention in the last decade thanks to a variety of applications deriving from this field. The Big Five model (also known as OCEAN) constitutes a well-known method to label different personality traits. This work considered transliterations of video recordings collected from YouTube (originally provided by the Idiap research institute) and automatically generated scores for the Big Five personality traits, which were also in the database. The transliterations were modeled with three different word embedding approaches (Word2Vec, GloVe, and BERT) and three different levels of analysis, namely a regression to predict the score of each personality trait, a binary classification between the strong vs. weak presence of each trait, and a tri-class classification according to three different levels of manifestations in each trait (low, medium, and high). According to our findings, the proposed approach provides similar results to others reported in the specialized literature. We believe that further research is required to find better results. Our results, as well as others reported in the literature, suggest that there is a big gap in the study of personality traits based on linguistic patterns, which highlights the need to work on collecting and labeling data considering the knowledge of expert psychologists and psycholinguists.

References Powered by Scopus

A tutorial on support vector regression

9296Citations
N/AReaders
Get full text

A very brief measure of the Big-Five personality domains

5851Citations
N/AReaders
Get full text

Linguistic styles: Language use as an individual difference

1389Citations
N/AReaders
Get full text

Cited by Powered by Scopus

User OCEAN Personality Model Construction Method Using a BP Neural Network

100Citations
N/AReaders
Get full text

A novel personality detection method based on high-dimensional psycholinguistic features and improved distributed Gray Wolf Optimizer for feature selection

26Citations
N/AReaders
Get full text

Personality Identification from Social Media Using Ensemble BERT and RoBERTa

3Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

López-Pabón, F. O., & Orozco-Arroyave, J. R. (2022). Automatic Personality Evaluation from Transliterations of YouTube Vlogs Using Classical and State-of-the-Art Word Embeddings. Ingenieria e Investigacion, 42(2). https://doi.org/10.15446/ing.investig.93803

Readers over time

‘21‘22‘23‘24036912

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 9

82%

Professor / Associate Prof. 1

9%

Lecturer / Post doc 1

9%

Readers' Discipline

Tooltip

Computer Science 4

36%

Veterinary Science and Veterinary Medic... 4

36%

Business, Management and Accounting 2

18%

Medicine and Dentistry 1

9%

Save time finding and organizing research with Mendeley

Sign up for free
0