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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
乐乐应助千日粉采纳,获得10
刚刚
1秒前
aichan发布了新的文献求助30
1秒前
酷酷的柔发布了新的文献求助10
2秒前
3秒前
斯文败类应助静oo采纳,获得10
3秒前
yowar发布了新的文献求助10
4秒前
yunyueqixun完成签到,获得积分10
4秒前
哈密瓜牛奶完成签到,获得积分10
5秒前
6秒前
6秒前
在水一方应助涵泽采纳,获得10
6秒前
Owen应助666采纳,获得10
6秒前
杨玲发布了新的文献求助10
6秒前
量子星尘发布了新的文献求助10
7秒前
小二郎应助Pendulium采纳,获得10
8秒前
8秒前
科研摸鱼怪完成签到,获得积分10
9秒前
9秒前
9秒前
9秒前
10秒前
fan关闭了fan文献求助
10秒前
完美世界应助合适山柏采纳,获得10
10秒前
香蕉诗蕊应助西吴采纳,获得30
10秒前
和谐妙之关注了科研通微信公众号
10秒前
10秒前
chen发布了新的文献求助80
11秒前
11秒前
张建凯发布了新的文献求助10
11秒前
苹果亦巧发布了新的文献求助30
11秒前
11秒前
12秒前
lucky发布了新的文献求助10
12秒前
Lucas应助科研通管家采纳,获得10
12秒前
Hello应助科研通管家采纳,获得10
12秒前
爆米花应助科研通管家采纳,获得10
12秒前
大个应助科研通管家采纳,获得10
12秒前
大蛋老师应助科研通管家采纳,获得10
12秒前
小蘑菇应助科研通管家采纳,获得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
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
The Victim–Offender Overlap During the Global Pandemic: A Comparative Study Across Western and Non-Western Countries 1000
King Tyrant 720
Sport, Social Media, and Digital Technology: Sociological Approaches 650
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5593888
求助须知:如何正确求助?哪些是违规求助? 4679724
关于积分的说明 14811268
捐赠科研通 4645341
什么是DOI,文献DOI怎么找? 2534709
邀请新用户注册赠送积分活动 1502747
关于科研通互助平台的介绍 1469450