학술논문

Emotion Analysis of Twitter Users on Natural Disasters
Document Type
Conference
Source
2019 IEEE 8th Global Conference on Consumer Electronics (GCCE) Consumer Electronics (GCCE), 2019 IEEE 8th Global Conference on. :342-343 Oct, 2019
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Fires
Twitter
Data visualization
Sentiment analysis
Earthquakes
Data analysis
social media
emotion analysis
natural disasters
visualization
California Camp Fire
Language
Abstract
In this information era, people usually express their views and emotions on a wide range of topics through social networking sites and so the role of emotion analysis in social media has been the subject of considerable research. The idea behind this research is that the emotions people express in their status updates can tell us something about how their emotions fluctuate day-to-day due to natural disasters. In this paper, we targeted for emotion analysis of Twitter users on natural disasters. By identifying these emotions, we can help first responders for better managing the situations such as mental health of survived victims. Our experiment is based on California Camp Fire that is happened in 2018 November.