首页> 外文会议>Proceedings of the ACM 2011 conference on computer supported cooperative work. >Blog Tells What Kind of Personality You Have: Egogram Estimation from Japanese Weblog
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Blog Tells What Kind of Personality You Have: Egogram Estimation from Japanese Weblog

机译:博客告诉您您有什么样的个性:日语博客中的心电图估计

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In this paper, we investigate personality estimation from Japanese weblog text. Among various personality types, we focus on Egogram, which has been used in Transactional Analysis and is strongly related to the communicative behavior of individuals. Estimation is performed using the Multinomial Naive Bayes classifier with some feature words that are selected based on the information gain. The validity of this approach was evaluated with real weblog text of 551 subjects. The results show that our approach achieved 12-25% improvement from baseline. The feature words selected for the estimation are strongly correlated with the characteristics of Egogram.
机译:在本文中,我们研究了日语博客文章中的人格估计。在各种人格类型中,我们重点关注已在事务分析中使用的Egogram,它与个人的交流行为密切相关。使用多项朴素贝叶斯分类器对某些特征词进行估算,这些特征词是根据信息增益选择的。该方法的有效性通过551个主题的真实Weblog文本进行了评估。结果表明,我们的方法比基线提高了12-25%。选择用于估计的特征词与Egogram的特征密切相关。

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