Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events.

ABSTRACT:

Background

Social media allows researchers to study opinions and reactions to events in real time. One area needing more study is anthrax-related events. A computational framework that utilizes machine learning techniques was created to collect tweets discussing anthrax, further categorize them as relevant by the month of data collection, and detect discussions on anthrax-related events.

Objective

The objective of this study was to detect discussions on anthrax-related events and to determine the relevance of the tweets and topics of discussion over 12 months of data collection.

Methods

This is an infoveillance study, using tweets in English containing the keyword "Anthrax" and "Bacillus anthracis", collected from September 25, 2017, through August 15, 2018. Machine l

SUBMITTER: Miller M 

PROVIDER: S-EPMC8277308 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature