activity
20192021
most citedDeriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2021

Visual Sentiment Analysis: A Natural DisasterUse-case Task at MediaEval 2021

Syed Zohaib Hassan, Kashif Ahmad, Michael A. Riegler +4

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 disaster…

cs.CL2021★ 1 cited

Sentiment Analysis of Users' Reviews on COVID-19 Contact Tracing Apps with a Benchmark Dataset

Kashif Ahmad, Firoj Alam, Junaid Qadir +8

Contact tracing has been globally adopted in the fight to control the infection rate of COVID-19. Thanks to digital technologies, such as smartphones and wearable devices, contacts…

cs.CV2020★ 3 cited

Visual Sentiment Analysis from Disaster Images in Social Media

Syed Zohaib Hassan, Kashif Ahmad, Steven Hicks +4

The increasing popularity of social networks and users' tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content, have opened new oppor…

cs.CV2020★ 5 cited

Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case

Kashif Ahmad, Syed Zohaib, Nicola Conci +1

Sentiment analysis aims to extract and express a person's perception, opinions and emotions towards an entity, object, product and a service, enabling businesses to obtain feedback…

cs.CV2019

Sentiment Analysis from Images of Natural Disasters

Syed Zohaib, Kashif Ahmad, Nicola Conci +1

Social media have been widely exploited to detect and gather relevant information about opinions and events. However, the relevance of the information is very subjective and rather…