Twitter sentiment analysis for COVID-19 associated mucormycosis.

ABSTRACT:

Purpose

COVID-19-associated mucormycosis (CAM) was a serious public health problem during the second wave of COVID-19 in India. We planned to analyze public perceptions by sentiment analysis of Twitter data regarding CAM.

Methods

In this observational study, the application programming interface (API) provided by the Twitter platform was used for extracting real-time conversations by using keywords related to mucormycosis (colloquially known as "black fungus"), from May 3 to August 29, 2021. Lexicon-based sentiment analysis of the tweets was done using the Vader sentiment analysis tool. To identify the overall sentiment of a user on any given topic, an algorithm to label a user "k" based on their sentiments was used.

Results

A total of 4,01,037 tweets were collected b

SUBMITTER: Singh M 

PROVIDER: S-EPMC9333026 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature