中国科学院心理研究所机构知识库

20世纪初,英国由于工业革命所经历的前所未有的经济发展和社会变革成为西方社会的缩影。通过研究20世纪初英国的群体心理特性,我们可以进一步了解西方社会在此阶段的社会心理特点。本文运用文学智能分析法,通过对毛姆小说代表人物的人格和生活满意度的分析,间接了解这一时代下英国群体的社会心理。研究结果发现小说中人物的大五人格和生活满意度在性别上无显著差异,心理特征呈现较高开放性,较低外向性,中等偏上的生活满意度水平。这些心理特征的形成可能源于男性与女性适应了经济地位、社会地位以及家庭关系的发展。

In recent years，with the development of computer natural language processing and machine learning technology，the use of network behavior to predict users＇ psychological characteristics has gradually become a focus of interdisciplinary research． The analysis of literary characters by the intelligent analysis system based on ecological recognition has been proved to be effective，but there are still some deficiencies． In this paper，the idea of transfer learning is introduced into the intelligent analysis system of literature． Taking the literary characters described by the English writer William Somerset Maugham as an example，the prediction effect is found to be improved to a certain extent，thus proving the effectiveness of transfer learning in the psychological analysis model of literary characters．