A map of the Urals emotional perception (based on modern regional poetry)

悲伤 诗歌 惊喜 藐视 厌恶 感觉 愤怒 身份(音乐) 价值(数学) 心理学 文学类 美学 社会学 历史 艺术 社会心理学 机器学习 计算机科学
作者
Tatyana Semyan,Evgeny A. Smyshlyaev,Olga Babina,Svetlana Sheremetyeva
出处
期刊:Digital Scholarship in the Humanities [Oxford University Press]
卷期号:37 (4): 1223-1239 被引量:1
标识
DOI:10.1093/llc/fqac007
摘要

Abstract The study of emotional categories in the literary texts of contemporary regional authors and creating a map of the Urals emotional perception based on the data obtained with the Digital Humanities methods is believed to be of great value for solving an important scientific and socio-cultural problems of revealing local specifics and regional identity that faced the Russian society at the turn of the 20th and 21st centuries. For several decades, the modern Ural literature has been a striking socio-cultural phenomenon, numbering more than a hundred writers from different cities (Perm, Yekaterinburg, Chelyabinsk, etc.). One of the key features of the modern Ural poetry is the reflection of regional identity in literary texts. The poems of the Ural writers are full of local toponyms, images of the Urals’ industrial cities and unique nature, as well as of local myths. In this article, a wide range of emotional categories (such as surprise, fear, anger, disgust, joy, contempt, sadness, love, etc.) in modern poetry is investigated based on the emotional models by the American psychologists Robert Plutchik (Emotion: Theory, Research, and Experience, Vol. 1: Theories of Emotion. New York: Academic), Carroll Izard (Izard, C. E., 2012, The Psychology of Emotions. New York: Plenum), and Paul Ekman (Ekman, P., 2007, Emotions Revealed: Recognizing Faces and Feelings to Improve Communication and Emotional Life. New York: Holt Paperbacks). The purpose of the research is to discover what emotions prevail in modern poetic texts dedicated to the Ural region by analysing how literary works absorb and critically rethink the space of the Urals. A comprehensive research methodology is proposed that combines a qualitative study of the literary material and automated quantitative-digital analysis of corpus data with the subsequent visualization of the results.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
gloval完成签到,获得积分10
1秒前
1秒前
florayouzi发布了新的文献求助10
1秒前
成就的发箍完成签到,获得积分10
2秒前
blackddl应助yy采纳,获得10
2秒前
2秒前
diguohu完成签到,获得积分10
3秒前
3秒前
麦乐迪完成签到 ,获得积分10
3秒前
xizhewang发布了新的文献求助10
3秒前
范慧晨完成签到,获得积分10
3秒前
兔BF完成签到,获得积分10
3秒前
yongtao完成签到,获得积分10
3秒前
4秒前
年轻的孤晴完成签到 ,获得积分10
5秒前
高贵路灯完成签到,获得积分10
5秒前
花生完成签到 ,获得积分10
6秒前
幸福硬币发布了新的文献求助10
6秒前
ZR14124完成签到,获得积分10
6秒前
科研小农民完成签到,获得积分10
6秒前
俺寻思者完成签到,获得积分10
6秒前
wen完成签到,获得积分10
7秒前
ZJJ完成签到,获得积分10
7秒前
木木很累发布了新的文献求助10
7秒前
clement完成签到,获得积分10
8秒前
隐逸者完成签到,获得积分10
8秒前
甜美的海瑶完成签到,获得积分10
8秒前
研友_LwlAgn完成签到,获得积分10
8秒前
清秀小凝完成签到,获得积分10
9秒前
he发布了新的文献求助10
9秒前
wodeqiche2007发布了新的文献求助30
9秒前
历史真相完成签到,获得积分10
9秒前
NNi完成签到,获得积分10
10秒前
清脆的秋寒完成签到,获得积分10
10秒前
任性的诗兰完成签到,获得积分10
10秒前
10秒前
vcc完成签到 ,获得积分10
11秒前
干净老姆完成签到,获得积分10
11秒前
leo完成签到,获得积分10
11秒前
茄子完成签到 ,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Organometallic Chemistry of the Transition Metals 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6436739
求助须知:如何正确求助?哪些是违规求助? 8251226
关于积分的说明 17552346
捐赠科研通 5495144
什么是DOI,文献DOI怎么找? 2898214
邀请新用户注册赠送积分活动 1875008
关于科研通互助平台的介绍 1716197