A Survey of Semantic Approaches in Personality Traits Profiling Analysis
Natural language processing (NLP) and machine learning have been used in the analysis of
individual profiling based on various data sources, including public datasets, social media …
individual profiling based on various data sources, including public datasets, social media …
Fine-Tuning IndoBERT Model for Big Five Personality Prediction from Indonesian Social Media
GA Pradnyana, W Anggraeni… - … Technology and Its …, 2023 - ieeexplore.ieee.org
The increasing amount of data generated from social media brings opportunities to produce
various helpful knowledge and information, one of which is predicting a person's personality …
various helpful knowledge and information, one of which is predicting a person's personality …
In the Educational Nexus: Understanding the Sequential Influence of Big Five Personality Traits, Major Identity, and Self-Esteem on Academic Outcomes through …
R Geddam, P Khanpara, H Ghiria, T Patel - Scalable Computing: Practice …, 2024 - scpe.org
This study investigates the relationship between the Big Five personality traits, major
identity, self-esteem, and academic outcomes in education. It uses clustering techniques to …
identity, self-esteem, and academic outcomes in education. It uses clustering techniques to …
Advancing Personality Detection through Word Embedments and Deep Learning: An Examination Using the MBTI Dataset
AG Shanmukha, RS Shamyuktha… - 2024 IEEE Recent …, 2024 - ieeexplore.ieee.org
Personality detection and classification hold significant potential for enhancing decision-
making processes and optimizing outcomes across various sectors. This interdisciplinary …
making processes and optimizing outcomes across various sectors. This interdisciplinary …
Optimizing neural networks for academic performance classification using feature selection and resampling approach
The features present in large datasets significantly affect the performance of machine
learning models. Redundant and irrelevant features will be rejected and cause a decrease …
learning models. Redundant and irrelevant features will be rejected and cause a decrease …