alex-gottlieb/deepIdeology: Scale Ideological Slant of Twitter Posts

This package allows users to identify the ideological leanings of Twitter posts with benchmark accuracy using a Long Short-Term Memory recurrent neural network model trained on a data set of Tweets labeled through the Amazon Mechanical Turk crowd-sourcing platform. The best-performing models are able to classify Tweets are liberal- or conservative-leaning with 86.90% accuracy and are able to capture both directionality and degree of slant.

Getting started

Package details

AuthorAlex Gottlieb
MaintainerAlex Gottlieb <Alexander.R.Gottlieb.GR@dartmouth.edu>
LicenseMIT
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("alex-gottlieb/deepIdeology")
alex-gottlieb/deepIdeology documentation built on Nov. 1, 2019, 9:09 p.m.