R-Ladies Freiburg (English) - Tidy Text Analysis: Word frequencies & n-grams

R-Ladies Freiburg (English) - Tidy Text Analysis: Word frequencies & n-grams

R-Ladies Bergen (English) - "Taking text data analysis to the next level"

R-Ladies Freiburg (English) - Shiny Apps Workshop

R Ladies Freiburg (English) - Intro to R & R-Studio: Zero to sHero {Part 1}

R for Text Analysis - Making Plots and Word Clouds

R-Ladies Nairobi (English) - Text Mining in R

R-Ladies Bucharest (English), Text mining with R - Aurore Paligot

R-Ladies Tbilisi (English - თბილისი): Working with text in R - Ella Kaye

R-Ladies Tbilisi (English - თბილისი) - Finding hidden topics in documents and other text analyses

R-Ladies Freiburg (Toolbox Series 3) - Reproducibility

R-Ladies Baltimore | An intro to tidymodels for tidy machine learning | Barter

N-grams | Introduction to Text Analytics with R Part 6

useR! International R User 2017 Conference Text Analysis and Text Mining Using R

useR! International R User 2017 Conference Text mining, the tidy way

R-Ladies Tunis | Webinar : Analysis of COVID-19 data with R

Facebook text analysis on R

How to Pronounce EVERY English Word – The BEST English Dictionary | How to Speak English

Text Mining: NGram Word Frequency in R

Sentiment Analysis of Arabic Text using R

Text analysis in R. Part 1: Preprocessing

Text analysis in R. Demo 2: Sentiment dictionaries

Text analysis in R. Demo 1: Corpus statistics

R-Ladies Tunis | Statistical Analysis Tools of Complex Time-Series Data | Pr. Faïcel Chamroukhi

Learn 18 Daily Verb Collocations using the word DO in English | Improve Your English Fluency

Learn English Word Power R Part 1, English Lessons for Beginners

Text Analysis & String Manipulation in R - stringr | R Cheat Sheets

Solr Analyzer - Text Analysis with Lucene Analyzers, Tokenizers and Filters

Data Science Tutorial | Text Analytics in R - Creating a Stunning Word Cloud in R - Part 1

21 Grams - Last Scene - How much fits into 21 grams? - [HQ]

R-Ladies Coventry (English)- An introduction to R Markdown

R-Ladies Bergen (English) - Best coding practices

R-Ladies Nairobi (English) - Data Manipulation Part 1

R-Ladies Nairobi (English) - Introduction to Package Development in R

R-Ladies Coventry (English)- An introduction to the BayesFactor R package

SPOKEN WORD: George Bernard Shaw ~ Spoken English & Broken English (1927)

R-Ladies Bucharest (English) - Blogging in R with Blogdown - Rebecca Barter

R-Ladies Tbilisi (English) - Divya Seernani: R for Psychology Research

R-Ladies Oslo (English) - Reports to impress your boss! Rmarkdown magic