Public Anxiety Around Monkeypox Outbreak: Detecting Emotional Distress From Bangla Instagram Posts

Published: 1 October 2024| Version 1 | DOI: 10.17632/cm8tsd4d9v.1
Contributors:
, Atik Asif Khan Akash

Description

This dataset introduces a novel collection of Instagram posts related to Monkeypox, focusing on anxiety detection in Bangla language. Due to the scarcity of publicly available data on Monkeypox reactions in Bangla, around 2,000 posts, including 638 Bangla posts and 1,362 English posts (translated into Bangla), were gathered from hashtags like #Monkeypox, #Mpox, and others. The posts, published between January and July 2024, were labeled into two classes—non-anxiety and anxiety—verified by professional psychologists. The final dataset contains 791 anxiety samples and 783 non-anxiety samples, offering a balanced resource for further research.

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Institutions

Daffodil International University

Categories

Computer Science, Anxiety, Machine Learning, Emotion, Bangladesh, Monkeypox, Cerebral Small Vessel Disease, Binary Classification

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