Application of Emotional Lexicon in Emergency Information Visualization Design

This paper discusses the application of emotion dictionary in the visual design of emergency information, aiming to improve the efficiency and accuracy of emergency response through emotion analysis technology, and provide decision support for emergency management. By using the emotion dictionary to capture and process the audience's emotions, K-means cluster analysis is used to divide the crowd into three categories: positive, negative and calm. Analyze people's visual cognition of information in emergency situations, use visual design of information visualization to present different information contents to audiences with different psychological cognition, relieve people's psychological pressure and anxiety, help people cope with difficulties, make judgments in emergency situations, and improve the efficiency of information processing and display.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icid64166.2024.11024782
Primary Topic
Advanced Text Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application of Emotional Lexicon in Emergency Information Visualization Design

Ruiyuan Liu, Haibin Xu
Advanced Text Analysis Techniques
article

Application of Emotional Lexicon in Emergency Information Visualization Design

Ruiyuan Liu, Haibin Xu
article en

Abstract

This paper discusses the application of emotion dictionary in the visual design of emergency information, aiming to improve the efficiency and accuracy of emergency response through emotion analysis technology, and provide decision support for emergency management. By using the emotion dictionary to capture and process the audience's emotions, K-means cluster analysis is used to divide the crowd into three categories: positive, negative and calm. Analyze people's visual cognition of information in emergency situations, use visual design of information visualization to present different information contents to audiences with different psychological cognition, relieve people's psychological pressure and anxiety, help people cope with difficulties, make judgments in emergency situations, and improve the efficiency of information processing and display.

Hubei University of Technology (CN)
Openalex Percentile: Top 72%
Advanced Text Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.