Automatic Personality Prediction; an Enhanced Method Using Ensemble Modeling
Table 5: Evaluation results for suggested methods
['[BOLD] Measure', '[BOLD] Method', '[BOLD] O', '[BOLD] C', '[BOLD] E', '[BOLD] A', '[BOLD] N', '[BOLD] Avg.']
Base Methods Outputs This paper proposed five distinct methods for APP, each of which performs the prediction independently, during the first step. Specifically, the term frequency vector-based, ontology-based, enriched ontology-based, LSA-based, and deep learning-based (BiLSTM) methods were called into action. The performance of each method, is evaluated separately in each of the personality traits in the Big Five model. This method has also achieved the highest average accuracy value in five traits.