GitHub topics: quantitative-text-analysis
WSE-research/LinguaF
python package for calculating famous measures in computational linguistics
Language: Python - Size: 129 KB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 14 - Forks: 5
FabianHabersack/nativism_dict
A German-language regular expression dictionary for quantitative text analyses of nativist language in political texts
Language: TeX - Size: 4.4 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0
nathan-lindstedt/ssci_study
Structural Topic Modeling for Social Scientists
Language: R - Size: 354 KB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
kv9898/maoist
Replication files for: Maoist Return or Continuation of Reform? A Structural Topic Modelling Analysis of Chinese Government Reports and Party Communiques
Language: TeX - Size: 133 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
pwr-usr/friends-text-analysis
Cultural Relevance of Friends Sitcom through Quantitative Text Analysis
Language: HTML - Size: 3.37 MB - Last synced at: 1 day ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
davidbroska/Computational-Political-Science
Repository for Computational Political Science course at Zeppelin University
Language: HTML - Size: 227 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 10 - Forks: 1
CoCoLabErica/LIWC2015
A program built on LIWCalike and quanteda to produce LIWC2015 results
Language: R - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
intro-to-data-science-21-workshop/14-LauraMenicacci-quanteda
This repository introduces you to the basics of the quanteda package, presented by Laura Menicacci and Dinah Rabe in the context of the Introduction for Data Science workshop, organised by Prof. Simon Munzert at the Hertie School (Berlin) in November 2021.
Language: HTML - Size: 33.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
