Detecting emotions in communication via social media during crisis events

Leon Rothkrantz

doi:10.1109/InfoTech52438.2021.9548403

Detecting emotions in communication via social media during crisis events

^*Corresponding author for this work

Interactive Intelligence

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

Abstract

Social media play an important role in crisis events. People in crisis events can report their observations of the crisis environment, and their mental and physical state. They can ask for help or assistance via Twitter. Some studies report, that some or a lot of compassion, concern and empathy is involved. Verification of this thesis was the main concern of our research. We analyzed huge datasets of Tweets available via Internet of recorded messages posted during natural disaster events. We detected many emotional tweets characterized by keywords. Emotional keywords were extracted and composed in an emotional dictionary, to be used for future flooding disasters.

Original language	English
Title of host publication	2021 35th International Conference on Information Technologies, InfoTech 2021
Subtitle of host publication	Proceedings
Publisher	IEEE
Number of pages	8
ISBN (Electronic)	978-1-6654-0324-5
ISBN (Print)	978-1-6654-3134-7
DOIs	https://doi.org/10.1109/InfoTech52438.2021.9548403
Publication status	Published - 2021
Event	35th International Conference on Information Technologies, InfoTech 2021 - Varna, Bulgaria Duration: 16 Sept 2021 → 17 Sept 2021

Conference

Conference	35th International Conference on Information Technologies, InfoTech 2021
Country/Territory	Bulgaria
City	Varna
Period	16/09/21 → 17/09/21

Keywords

crisis app
flooding experiment
keyword spotting
sentiment analysis
social media
textual affect sensing

Access to Document

10.1109/InfoTech52438.2021.9548403

Cite this

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title = "Detecting emotions in communication via social media during crisis events",

abstract = "Social media play an important role in crisis events. People in crisis events can report their observations of the crisis environment, and their mental and physical state. They can ask for help or assistance via Twitter. Some studies report, that some or a lot of compassion, concern and empathy is involved. Verification of this thesis was the main concern of our research. We analyzed huge datasets of Tweets available via Internet of recorded messages posted during natural disaster events. We detected many emotional tweets characterized by keywords. Emotional keywords were extracted and composed in an emotional dictionary, to be used for future flooding disasters.",

keywords = "crisis app, flooding experiment, keyword spotting, sentiment analysis, social media, textual affect sensing",

author = "Leon Rothkrantz",

year = "2021",

doi = "10.1109/InfoTech52438.2021.9548403",

language = "English",

isbn = "978-1-6654-3134-7",

booktitle = "2021 35th International Conference on Information Technologies, InfoTech 2021",

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T1 - Detecting emotions in communication via social media during crisis events

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PY - 2021

Y1 - 2021

N2 - Social media play an important role in crisis events. People in crisis events can report their observations of the crisis environment, and their mental and physical state. They can ask for help or assistance via Twitter. Some studies report, that some or a lot of compassion, concern and empathy is involved. Verification of this thesis was the main concern of our research. We analyzed huge datasets of Tweets available via Internet of recorded messages posted during natural disaster events. We detected many emotional tweets characterized by keywords. Emotional keywords were extracted and composed in an emotional dictionary, to be used for future flooding disasters.

AB - Social media play an important role in crisis events. People in crisis events can report their observations of the crisis environment, and their mental and physical state. They can ask for help or assistance via Twitter. Some studies report, that some or a lot of compassion, concern and empathy is involved. Verification of this thesis was the main concern of our research. We analyzed huge datasets of Tweets available via Internet of recorded messages posted during natural disaster events. We detected many emotional tweets characterized by keywords. Emotional keywords were extracted and composed in an emotional dictionary, to be used for future flooding disasters.

KW - crisis app

KW - flooding experiment

KW - keyword spotting

KW - sentiment analysis

KW - social media

KW - textual affect sensing

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DO - 10.1109/InfoTech52438.2021.9548403

M3 - Conference contribution

AN - SCOPUS:85116609764

SN - 978-1-6654-3134-7

BT - 2021 35th International Conference on Information Technologies, InfoTech 2021

PB - IEEE

T2 - 35th International Conference on Information Technologies, InfoTech 2021

Y2 - 16 September 2021 through 17 September 2021

ER -

Detecting emotions in communication via social media during crisis events

Abstract

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Keywords

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