Liu Mengjun, Jiang Xinyu, Zhang Bingbing, Song Ting, Yu Gang, Liu Guofang, Jiang Nan, Wu Di, Zhou Zhi
School of Education, Hubei University, Wuhan, China.
School of Foreign Languages, Hubei University, Wuhan, China.
Front Psychol. 2023 Mar 2;14:1109126. doi: 10.3389/fpsyg.2023.1109126. eCollection 2023.
Free-text data with long duration and continuity have great potential for studying environmental concerns and emotional expressions in child development. Based on ecosystem theory, using topic modeling and sentiment analysis in text mining to mine 4556 free-text writing data from first to sixth grade in elementary school, this study aims to reveal concerned topics' evolutionary trends and sentiment expression differences in topics during elementary school children's development. The results show the following: (1) Children prefer to focus on the topics of school and family in elementary school; (2) With the growth of grades, the proportion of family topics continues to decline, while that of social culture topics keeps rising; (3) When describing school, family, social culture, and interest, children mostly express negative emotions, and when describing peers and ability they mostly express positive emotions; (4) As the grade increases, the emotional expression on social culture topics become negative, while that on ability and interest topics become positive, and there are more differences in emotion expression between topics in junior and senior elementary grades. Discussion and conclusion are discussed at the end.
具有长时间跨度和连续性的自由文本数据在研究儿童发展中的环境问题和情感表达方面具有巨大潜力。基于生态系统理论,本研究运用文本挖掘中的主题建模和情感分析方法,对小学一至六年级的4556篇自由文本写作数据进行挖掘,旨在揭示小学儿童发展过程中所关注主题的演变趋势以及各主题间的情感表达差异。研究结果如下:(1)小学阶段儿童更倾向于关注学校和家庭主题;(2)随着年级增长,家庭主题的占比持续下降,而社会文化主题的占比不断上升;(3)在描述学校、家庭、社会文化和兴趣时,儿童大多表达负面情绪,而在描述同伴和能力时大多表达正面情绪;(4)随着年级升高,对社会文化主题的情感表达变为负面,而对能力和兴趣主题的情感表达变为正面,且小学中高年级各主题间的情感表达差异更大。文末对研究进行了讨论并得出结论。