Word Clouds in R: Useful & Beautiful Word Clouds with wordcloud2

dataslice · Beginner ·📄 Research Papers Explained ·5y ago

Key Takeaways

The video demonstrates how to create word clouds in R using the tm and wordcloud2 libraries, covering text cleaning, corpus creation, and word cloud customization.

Original Description

Word Clouds in R: Useful & Beautiful Word Clouds with wordcloud2 In this video, I show you how to make word clouds with the tm library and wordcloud2 library in just a few minutes. We first start by cleaning our text, then building our word cloud. We don't just stop there though, because there are lots of potential improvements you can make to your wordcloud. Code: https://github.com/abhimotgi/dataslice/blob/master/R/Word%20Clouds%20in%20R.R Kaggle Medium Posts Dataset: https://www.kaggle.com/dorianlazar/medium-articles-dataset?select=medium_data.csv Word Cloud 2 Documentation: https://cran.r-project.org/web/packages/wordcloud2/vignettes/wordcloud.html Marti Hearst's Medium Article: https://medium.com/multiple-views-visualization-research-explained/improving-word-clouds-9d4a04b0722b 0:00 Intro & Setup 1:44 Create corpus and clean text 3:44 Create term document matrix 5:14 Build word cloud 6:14 Improve your word cloud 12:09 Outro
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This video teaches how to create word clouds in R using the wordcloud2 and tm libraries, covering the entire process from text cleaning to word cloud customization. The video provides a step-by-step guide on how to create beautiful and useful word clouds. By following this video, viewers can learn how to effectively visualize text data and gain insights from word frequencies.

Key Takeaways
  1. Install and load the required libraries (tm and wordcloud2)
  2. Create a corpus from the text data
  3. Clean the text data by removing stop words and punctuation
  4. Create a term document matrix
  5. Build a word cloud using the wordcloud2 library
  6. Customize the word cloud by changing colors, fonts, and layouts
💡 Word clouds can be a useful tool for visualizing text data and gaining insights from word frequencies, but they require careful customization to be effective.

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Chapters (6)

Intro & Setup
1:44 Create corpus and clean text
3:44 Create term document matrix
5:14 Build word cloud
6:14 Improve your word cloud
12:09 Outro
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