Tools for cleaning and normalizing text data
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Updated
Nov 1, 2021 - R
Tools for cleaning and normalizing text data
Quantitative Discourse Analysis Package: Bridging the gap between qualitative data and quantitative analysis
📰 Working with newspaper data from 'LexisNexis'
An R package for dynamic exploration of text collections
Semi-supervised algorithm for geographical document classification
Semi-supervised algorithm for document scaling
R implementation of the Reinert text clustering method
Import journal data from DfR (JSTOR)
Various examples of topic modeling and other text analysis
R package for estimating speaker style distinctiveness in texts. Install it from CRAN!
DEPRECATED - The Concept Mover's Distance Method is now available in the text2map package. Concept Mover's Distance is a way to measure a document's conceptual engagement using word embeddings.
💒 Reproducible Extraction of Cross-lingual Topics using R
🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.
R Shiny app for tweet analysis
Calculate textual complexity using the algorithm by Tolochko & Boomgaarden (2019).
Weaving analytical stories from text data
Code, data, and website for "America's Public Bible: A Commentary"
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