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epitweetr  

Early Detection of Public Health Threats from 'Twitter' Data
View on CRAN: Click here


Download and install epitweetr package within the R console
Install from CRAN:
install.packages("epitweetr")

Install from Github:
library("remotes")
install_github("cran/epitweetr")

Install by package version:
library("remotes")
install_version("epitweetr", "2.2.16")



Attach the package and use:
library("epitweetr")
Maintained by
Laura Espinosa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-01
Latest Update: 2022-12-01
Description:
It allows you to automatically monitor trends of tweets by time, place and topic aiming at detecting public health threats early through the detection of signals (e.g. an unusual increase in the number of tweets). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords. More information is available in the 'epitweetr' peer-review publication (doi:10.2807/1560-7917.ES.2022.27.39.2200177).
How to cite:
Laura Espinosa (2020). epitweetr: Early Detection of Public Health Threats from 'Twitter' Data. R package version 2.2.16, https://cran.r-project.org/web/packages/epitweetr. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.20 (2020-10-01 10:30), 0.1.24 (2020-10-23 15:00), 0.1.28 (2021-04-09 00:20), 2.0.3 (2022-01-05 11:00), 2.2.13 (2022-12-01 01:40)
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