使用Naïve贝叶斯分类器算法分析人格特征(以Basuki Tjahaja Purnama's和Anies Baswedan的官方推特为例)

Ireicca Agustiorini Harsehanto, M. D. R. Wahyudi
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引用次数: 1

摘要

摘要:本研究使用来自社交媒体Twitter的数据,基于user_timeline @basuki_btp和@aniesbaswedan的tweet结果。本研究使用了2100条推特数据。收集到的数据首先进行预处理,然后手工标记。下一个过程是使用Naïve贝叶斯分类器算法使用大五人格理论进行分类。基于以500条推文数据作为训练数据,1600条推文数据作为测试数据的测试结果。利用Naïve贝叶斯分类器方法对印度尼西亚人的推特数据进行分类,将分类结果归为“五大”人格组:开放性、严谨性、外向性、亲和性和神经质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Personality Characteristic Using the Naïve Bayess Classifier Algorithm (Case Study Official Twitter of Basuki Tjahaja Purnama's and Anies Baswedan)
Abstract - This research uses data from social media Twitter based on the results of tweets from user_timeline @basuki_btp and @aniesbaswedan. This study uses 2100 tweet data. Data that has been collected is then pre-processed first and labeled manually. The next process is classification using the Naïve Bayess Classifier Algorithm using the Big Five Personality Theory. Based on the test results using 500 tweet data as training data and 1600 tweet data as testing data. The classification results obtained by using the Naïve Bayes Classifier Method and grouped in the "Big Five" personality groups: Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism on tweet data in Indonesian.
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