An R package for the Quantitative Analysis of Textual Data
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Updated
Sep 2, 2024 - R
An R package for the Quantitative Analysis of Textual Data
Semi-supervised algorithm for geographical document classification
Semi-supervised algorithm for document scaling
📖 📚 📰 Workshop that demonstrates using and analyzing text in R.
This is a designed package for replicating the estimates and findings in the article of Factionalism and the Red Guards under Mao's China: Ideal Point Estimation Using Text Data.
Analysis of Billboard Top 100 song lyrics in the US from 1958 - 2021. Sentiment analysis and lexical diversity analysis.
Repository for Computational Political Science course at Zeppelin University
Visualize a corpus of texts as a landscape with the aid of text mining, graph visualization and self-organizing maps
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.
From using xpdf, rvest, and quanteda on United Nations Digital Library search results to applying dictionaries to speeches in United Nations meeting records
I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at
Analysing Mexico’s President speeches: A study of political propaganda and populist rhetoric using NLP methods
Text mining techniques conducted on lyrics of some popular songs.
Explorations of modeling using tidyverse tools
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