Big five personality prediction based in Indonesian tweets using machine learning methods

Abstract

<span lang="EN-US">The popularity of social media has drawn the attention of researchers who have conducted cross-disciplinary studies examining the relationship between personality traits and behavior on social media. Most current work focuses on personality prediction analysis of English texts, but Indonesian has received scant attention. Therefore, this research aims to predict user’s personalities based on Indonesian text from social media using machine learning techniques. This paper evaluates several machine learning techniques, including <a name="_Hlk87278444"></a>naive Bayes (NB), K-nearest neighbors (KNN), and support vector machine (SVM), based on semantic features including emotion, sentiment, and publicly available Twitter profile. We predict the personality based on the big five personality model, the most appropriate model for predicting user personality in social media. We examine the relationships between the semantic features and the Big Five personality dimensions. The experimental results indicate that the Big Five personality exhibit distinct emotional, sentimental, and social characteristics and that SVM outperformed NB and KNN for Indonesian. In addition, we observe several terms in Indonesian that specifically refer to each personality type, each of which has distinct emotional, sentimental, and social features.</span>

Understanding the Uses, Approaches and Applications of Sentiment Analysis

“…There are tools which are used to implement Sentiment Analysis and are termed as sentiment analysis tools. Sentiment Analysis Tools are Arti cial intelligence (AI) technologies that analyses text data to help you quickly determine how people feel about a policy, brand, product, or service (Maharani and Effendy, 2022). These AI technologies help businesses and organizations to make decisions beforehand.…”

Identification of Big Five Personality on Twitter Users using the AdaBoost Method

“…Personality is a unique combination of behaviors, emotions, and thought patterns that influence cognition, motivation, behavior, and life choices [2], [3]. Twitter is considered an accurate application for identifying personality because Twitter users tend not to worry about the words used in tweets [4].…”

“…To identify a person's personality, research can be done using the Five-Factor Model approach, also known as The Big Five. This research method is widely used and has been used successfully in several previous studies [4]- [6]. This theory divides personality into five dimensions known as OCEAN, which stands for Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism [2], [7].…”

“…The highest accuracy is 69.23%, obtained by combining features and comparing test data 20:80 [6]. Classification with Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Naïve Bayes is also used in personality prediction research by Maharani and Effendy [4]. Research [4] has found openness to be the simplest trait to measure, while neuroticism is considered quite difficult.…”

“…Classification with Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Naïve Bayes is also used in personality prediction research by Maharani and Effendy [4]. Research [4] has found openness to be the simplest trait to measure, while neuroticism is considered quite difficult. In predicting personality traits, the SVM approach produces a good performance, with a score of 59.45% [4].…”