An R package for the Quantitative Analysis of Textual Data
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Updated
May 7, 2024 - R
An R package for the Quantitative Analysis of Textual Data
Semi-supervised algorithm for geographical document classification
📖 📚 📰 Workshop that demonstrates using and analyzing text in R.
Semi-supervised algorithm for document scaling
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.
Visualize a corpus of texts as a landscape with the aid of text mining, graph visualization and self-organizing maps
Analysis of Billboard Top 100 song lyrics in the US from 1958 - 2021. Sentiment analysis and lexical diversity analysis.
Welcome to the amazing world of quanteda. Text analysis, allocations, sentiment analysis and more. Welcome!
Repository for Computational Political Science course at Zeppelin University
I was a visiting scholar at the University of Chicago 2021-2022 where I took a grad/undergrad class called Inroduction to Text as Data for Social Science. The class focused on APIs and web-scraping. It also focused on natural language processing (NLP), machine learning, sentiment analysis, topic models, supervised classification, and word embedd…
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.
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