Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021
The Visual Sentiment Analysis task is being offered for the first time at MediaEval. The main
purpose of the task is to predict the emotional response to images of natural disasters
shared on social media. Disaster-related images are generally complex and often evoke an
emotional response, making them an ideal use case of visual sentiment analysis. We
believe being able to perform meaningful analysis of natural disaster-related data could be
of great societal importance, and a joint effort in this regard can open several interesting …
purpose of the task is to predict the emotional response to images of natural disasters
shared on social media. Disaster-related images are generally complex and often evoke an
emotional response, making them an ideal use case of visual sentiment analysis. We
believe being able to perform meaningful analysis of natural disaster-related data could be
of great societal importance, and a joint effort in this regard can open several interesting …
Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021
S Zohaib Hassan, K Ahmad, MA Riegler… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Abstract The Visual Sentiment Analysis task is being offered for the first time at MediaEval.
The main purpose of the task is to predict the emotional response to images of natural
disasters shared on social media. Disaster-related images are generally complex and often
evoke an emotional response, making them an ideal use case of visual sentiment analysis.
We believe being able to perform meaningful analysis of natural disaster-related data could
be of great societal importance, and a joint effort in this regard can open several interesting …
The main purpose of the task is to predict the emotional response to images of natural
disasters shared on social media. Disaster-related images are generally complex and often
evoke an emotional response, making them an ideal use case of visual sentiment analysis.
We believe being able to perform meaningful analysis of natural disaster-related data could
be of great societal importance, and a joint effort in this regard can open several interesting …
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