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.
Package details |
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Author | Alex Gottlieb |
Maintainer | Alex Gottlieb <Alexander.R.Gottlieb.GR@dartmouth.edu> |
License | MIT |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
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