An R package for the Quantitative Analysis of Textual Data

Semi-supervised algorithm for document scaling

Quanteda tutorials website

Cultural Relevance of Friends Sitcom through Quantitative Text Analysis

Semi-supervised algorithm for geographical document classification

Technique for analyzing qualitative content quantitatively

an R package for reading text files

Analysing Mexico’s President speeches: A study of political propaganda and populist rhetoric using NLP methods

Semi-supervised LDA topic modelling and analysis of AHRC research grant application abstracts

Introducción a la recolección y análisis de datos con R y RStudio

This repository contain the process that how I deal with Japanese manifestos and conduct a LDA model on the data

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

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.

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…

A word cloud generating app for text visualisation. Supports multi-word keywords.

Visualize a corpus of texts as a landscape with the aid of text mining, graph visualization and self-organizing maps

Paquete para la creación rápida de estadísticas descriptivas en corpus de texto

Analysis of Billboard Top 100 song lyrics in the US from 1958 - 2021. Sentiment analysis and lexical diversity analysis.

Sentiment analysis for the Finnish Language