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The document presents an Ontology-Based Enneagram Personality Prediction System that utilizes Twitter text for predicting personality types without requiring time-consuming questionnaires. The system employs ontology, lexicon, and statistical methods, achieving a high recall rate of 95% for the Enthusiast personality type. This research marks the first technique to predict Enneagram personality from text, demonstrating promising results in personality identification.

Author

m13521363376

Language

EN