Data and Resources for Estimating geographic subjective well-being from Twitter: a comparison of dictionary and data-driven language methods

Kokil Jaidka; johannes C. Eichstaedt; Salvatore Giorgi

doi:10.17605/OSF.IO/JQK6F

Title	Authors

Data and Resources for Estimating geographic subjective well-being from Twitter: a comparison of dictionary and data-driven language methods

Contributors:

Kokil Jaidka
johannes C. Eichstaedt
Salvatore Giorgi

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Projects
Registrations

Results: All Projects Results: My Projects Results: All Registrations Results: My Registrations

Wiki

Add important information, links, or images here to describe your project.

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.

This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.

Create an Account Learn More Hide this message

Main content

Links to this project

Data and Resources for Estimating geographic subjective well-being from Twitter: a comparison of dictionary and data-driven language methods

Link other OSF projects

Wiki

Files

Citation

Recent Activity

Start managing your projects on the OSF today.