An R package for the Quantitative Analysis of Textual Data
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Updated
Dec 21, 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.
Analysis of Billboard Top 100 song lyrics in the US from 1958 - 2021. Sentiment analysis and lexical diversity analysis.
Visualize a corpus of texts as a landscape with the aid of text mining, graph visualization and self-organizing maps
Repository for Computational Political Science course at Zeppelin University
I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at
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
Analysing Mexico’s President speeches: A study of political propaganda and populist rhetoric using NLP methods
Explorations of modeling using tidyverse tools
Welcome to the amazing world of quanteda. Text analysis, allocations, sentiment analysis and more. Welcome!
Slides for Topic Modeling Workshop
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