There are 4 repositories under tidytext topic.
List of textual data sources to be used for text mining in R
:book: :books: :newspaper: Workshop that demonstrates using and analyzing text in R.
🇺🇸 Search and Extract Corpus Elements from 'The American Presidency Project'
📖 An R package for the complete LDS Scriptures
Code for my blog post about text mining Last Week Tonight comments
Code for my blog post about text mining uruguayan Parliamentary sessions 🇺🇾
Presentation for IBM Community Day AI
Tidy text sentiment analysis of A Christmas Carol
A brief introduction to text mining and sentiment analysis with visualization
Topic modelling of trustpilot reviews
This repository contains my Exploratory Data Analysis projects using R
Use R and parts-of-speech tagging to explore the Qur'an in Arabic
App & API for sentiment analysis of MediaWiki talk pages made during Wikimedia Hackathon 2017 in Vienna
Analysis of scriptures and general conference talks by leaders of The Church of Jesus Christ of Latter-day Saints. This project is not affiliated with The Church of Jesus Christ of Latter-day Saints.
The repo for the CIDR R textanalysis workshop
Scripts for processing and mining (classic) literature and other text data, such as screenplays
Capital by Karl Marx in a tidy text format ready for data analysis in R
simple utility tools for dataframes in Python || WIP ||
Scrape General Conference Talks using R
A Sentiment Analysis of the Televison Show Frasier
Text analysis of the Wizard of Oz and The Marvelous Land of Oz using r and including data cleaning, tokenization, data visualizations and sentiment analysis.
Sentiment analysis of ftragedy dataset using tidytext and FEE Lexicon
Course for ANDAN Summer School about strings and texts in R
Use R and parts-of-speech tagging to explore the distinctive features of John
Significance testing for collocates.
build a sentiment analysis model which will allow us to categorize words based on their sentiments, that is whether they are positive, negative and also the magnitude of it.
Utilizando-se da linguagem R, o artigo apresenta uma análise da obra de Raul Seixas por meio da implamentação da API 'Spotifyr' e da função 'getsentiments()' do pacote tidytext.
This shiny app explores the transcripts of the Government Digital Service podcast, analysing the transcripts for sentiment and characteristics