An R package for the Quantitative Analysis of Textual Data

an R package for reading text files

Semi-supervised algorithm for geographical document classification

Semi-supervised algorithm for document scaling

Quanteda tutorials website

Rによる日本語テキスト分析入門

📖 📚 📰 Workshop that demonstrates using and analyzing text in R.

A collection of corpora for quanteda

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

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

Explorations of modeling using tidyverse tools

Quanteda landing website

Slides for Topic Modeling Workshop

Welcome to the amazing world of quanteda. Text analysis, allocations, sentiment analysis and more. Welcome!