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Register a new userPersonality Predictive Lexical Cues and Their Correlations
العظة المعجمية التنبؤية الشخصية وعلاقاتها
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في السنوات الأخيرة، استخدم عدد من الدراسات نماذج خطية لتنبؤ بالشخصية بناء على النص.في هذه الورقة، نحن نحلل تجريبيا ومقارنة الإشارات المعجمية التي تم التقاطها في هذه النماذج.نحدد الإشارات المعجمية لكل بعدة من مخطط شخصية MBTI بعدة طرق مختلفة، مع الأخذ في الاعتبار مجموعات بيانات مختلفة ومجموعات ميزة وغوارزمية التعلم.نقوم بإجراء سلسلة من تحليلات الارتباط بين بيانات MBTI الناتجة واستكشاف اتصالهم بالإشارات الأخرى، مثل السمات الكبيرة الخمسة والعاطفة والشاحات والعمر والجنس.يظهر التحليل أنماط الارتباط المثيرة للاهتمام بين أبعاد الشخصية المختلفة والسمات الأخرى، وتقدم أيضا أدلة على تقلب البيانات.
In recent years, a number of studies have used linear models for personality prediction based on text. In this paper, we empirically analyze and compare the lexical signals captured in such models. We identify lexical cues for each dimension of the MBTI personality scheme in several different ways, considering different datasets, feature sets, and learning algorithms. We conduct a series of correlation analyses between the resulting MBTI data and explore their connection to other signals, such as for Big-5 traits, emotion, sentiment, age, and gender. The analysis shows intriguing correlation patterns between different personality dimensions and other traits, and also provides evidence for the robustness of the data.
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