您当前的位置: > 详细浏览

CAN4Age: Chinese affective norms for 4-character words rated by older and younger adults

请选择邀稿期刊:
摘要: Age-related differences in affective meanings of words are widely used by researchers studying emotions, word recognition, attention, memory and text -based sentiment analysis. However, no Chinese affective norms for older adults are available. This article firstly presents the available large-scale Chinese affective norms for 2, 061 4-character words rated in labs by 114 older and 150 younger adults (CAN4Age) who evaluated these words on four dimensions: valence, arousal, dominance, and familiarity. We also compiled 4 lexical variables for each word, including word frequency, word complexity, character frequency and character complexity. In general, older adults tend to evaluate emotional words more extremely than younger adults do. That is, they rate positive words as more positive and negative words as more negative than younger adults do. Specifically, older adults tend to perceive positive words as more arousing and less controllable and negative words as less arousing and more controllable than that of younger adults. This age-related database will enable researchers to study how emotional characteristics of words influence their cognitive processing, and how this influence evolves with age in Chinese. This age-related difference study on affective norms not only provides insights to cognitive neuroscience, gerontology and psychology in experimental studies, but the produced affective word collection also has great value as a resource for affective analysis in natural language processing applications. These norms can be downloaded as supplemental materials with this published article.

版本历史

[V1] 2019-09-18 11:29:01 ChinaXiv:201909.00192V1 下载全文
点击下载全文
预览
同行评议状态
待评议
许可声明
metrics指标
  •  点击量16794
  •  下载量1730
评论
分享
申请专家评阅
  • 运营单位: 中国科学院文献情报中心
  • 制作维护:中国科学院文献情报中心知识系统部
  • 邮箱: eprint@mail.las.ac.cn
  • 地址:北京中关村北四环西路33号
招募志愿者 许可声明 法律声明

京ICP备05002861号-25 | 京公网安备11010802041489号
版权所有© 2016 中国科学院文献情报中心