Alternatives and similar repositories for text-mining-in-r:

Users that are interested in text-mining-in-r are comparing it to the libraries listed below

• hadley / r2d3
  ggplot2 + d3 = r2d3
  ☆187Updated 12 years ago
• trestletech / Sermon-Sentiment-Analysis
  Code used to compare sentiments of various sermons
  ☆24Updated 13 years ago
• haozhu233 / ezsummary
  ☆36Updated 6 years ago
• daroczig / Mastering-Data-Analysis-with-R
  R code examples for my book
  ☆34Updated 8 years ago
• trinker / stansent
  ☆16Updated 3 years ago
• fredheir / WebScraping
  SSRMC lectures in Web Scraping, HT 2014
  ☆24Updated 9 years ago
• garrettgman / Visual-Inference-Tools
  A suite of visualization tools that demonstrate the intuition behind statistical inference.
  ☆35Updated 8 years ago
• arc12 / Text-Mining-Weak-Signals
  This is a collection of mostly R code to use text mining to analyse conference abstracts, blogs and other sources in an attempt to look f…
  ☆42Updated 9 years ago
• zmjones / edarf
  exploratory data analysis using random forests
  ☆69Updated 7 years ago
• juliasilge / old_bloggy_blog
  My older Jekyll blog, based on the So Simple theme
  ☆24Updated 7 years ago
• Robinlovelace / R-for-Big-Data
  Teaching materials for handling large datasets in R
  ☆77Updated 7 years ago
• christophergandrud / DataCombine
  R tools for combining data sets.
  ☆55Updated 4 years ago
• h2oai / Deep-Learning-with-h2o-in-R
  Deep neural networks on over 50 classification problems from the UC Irvine Machine Learning Repository
  ☆25Updated 9 years ago
• rstudio / Strata2016
  Materials for Nathan and Garrett's tutorial R for Big Data
  ☆17Updated 8 years ago
• topepo / useR2016
  Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"
  ☆39Updated 8 years ago
• padamson / rwml-R
  R code to accompany Henrik Brink, Joseph W. Richards, and Mark Fetherolf's book "Real-World Machine Learning"
  ☆61Updated 2 years ago
• woobe / deepr
  An R package to streamline the training, fine-tuning and predicting processes for deep learning based on 'darch' and 'deepnet'.
  ☆45Updated 10 years ago
• zmjones / rfss
  "Exploratory Data Analysis using Random Forests"
  ☆18Updated 9 years ago
• expersso / pdftables
  Programmatic Conversion of PDF Tables With R
  ☆40Updated 8 years ago
• jcheng5 / bubbles
  d3 Bubble Chart for R
  ☆57Updated 3 years ago
• rstudio / sparkapi
  Sparklyr Extensions API
  ☆32Updated 8 years ago
• hadley / clusterfly
  An R package for visualising high-dimensional clustering algorithms
  ☆16Updated 11 years ago
• caprice-j / ggbash
  A simpler ggplot2 syntax, saving half of your typing.
  ☆79Updated 6 years ago
• Stan125 / GREA
  Gotta Read Em All: RStudio Add-In to interactively read ALL the data into R
  ☆48Updated 5 years ago
• Robinlovelace / learning-shiny
  Introductory tutorial creating a narrative to the RStudio's tutorial and other documentation for newbies to R's wonderful package shiny.
  ☆25Updated 10 years ago
• ramnathv / rNotebook
  A browser based R Notebook
  ☆125Updated 11 years ago
• petermeissner / wikipediatrend
  A convenience R package for getting Wikipedia article access statistics (and more).
  ☆79Updated 4 years ago
• cstahmer / text_mining_with_r
  A collection of scripts for teaching and learning basic text mining methods in R
  ☆10Updated 6 years ago
• crubba / Wiley-ADCR
  Repository for the book "Automated Data Collection with R"
  ☆42Updated 8 years ago
• Ironholds / webreadr
  A package for consuming and munging access log data
  ☆52Updated 3 years ago