K. Orynbekova, A. Talasbek, Abylay Omar, A. Bogdanchikov, S. Kadyrov
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引用次数: 0
摘要
性格决定了一个人在不同情况下如何做决定、说话或反应。本文简要介绍了Myers-Briggs Type Indicator人格分类的具体内容,然后详细介绍了在Apache Spark平台上运行实验的准备工作。在实验中,使用三种不同的分类算法(逻辑回归,朴素贝叶斯,支持向量机)在由8675个用户推文组成的Kaggle数据集上训练和预测MBTI人格对。最后说明了数据预处理和算法训练、测试、验证的细节和结果。对不同矢量组合的模型进行了比较,并对结果进行了描述。
MBTI personality classification using Apache Spark
Personality determines how person make decisions, speak or react on different situations. In this paper explained shortly the specifics of Myers-Briggs Type Indicator personality classification, then details of preparation of the experiment to run on Apache Spark platform. In experiment three different classification algorithms (Logistic Regression, Naive Bayes, Support Vector Machine) are used to train and predict MBTI personality pairs on a Kaggle dataset consisting of 8675 users tweets. In the end explained the data preprocessing and algorithm training, testing, validation details and results. The models with different vector combinations have been compared, and results have been described.