Voyant Tutorial

Voyant Tutorial
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Most-Frequent-Word Analysis, or MFW, is a text analysis technique that treats texts as collections of individual words, disregarding grammar and sentence structure. This method is valuable for creating vocabularies, aiding in language learning, identifying thematic elements in texts, and visualizing word lists using modern digital humanities tools.

  • Text analysis
  • MFW
  • Digital humanities
  • Vocabulary
  • Word visualization

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  1. Voyant Tutorial exploring visualization techniques

  2. Voyant Tutorial exploring visualization techniques Credit: Battershill, Claire, and Shawna Ross. Chapter 18 Classroom Activity Sets. Using Digital Humanities in the Classroom: Digital Humanities in the Classroom: A Practical Introduction. Book Companion. 2017. http://teachdh.com

  3. Today, we will learn about most-frequent word analysis. Part 1: Background Information Part 2: Instruction Set Part 3: Advanced Options

  4. Part 1 Background Information

  5. Most-Frequent-Word (MFS) Analysis Treats texts as bags of words Grammar and sentence structure are not important Separates texts into individual words ( tokens ) Words too frequent to be significant are taken out Called stopwords, such as am, is, was, were, he, she, we, it Counts up how many times each word occurs Creates a list of most- to least-frequently used words, remembering how many times each word occurs

  6. Uses of MFW Analysis Create vocabularies to help learning a new language Find each and every occurrence word in a text quickly You may know this practice by the term concordance, as biblical concordances are popular Discover hidden themes in a text or stylistic choices by an author

  7. Digital MFW Analysis Recent resurgence in interest in MFW because of the growth of the digital humanities New techniques to visualize word lists Word clouds are very popular today

  8. Voyant Tools is a web-based text reading and analysis environment. It is a scholarly project that is designed to facilitate reading and interpretive practices for digital humanities students and scholars as well as for the general public. St fan Sinclair and Geoffrey Rockwell http://voyant-tools.org/docs/#!/guide/about

  9. Part 2 Instruction Set

  10. At a Glance Access your text Load it onto Voyant Explore visualizations Interpret your text

  11. Access your text find a copy of the text that you can give to Voyant

  12. Finding a reliable text It should be clean, that is, as free of errors as possible! Use the same standards and processes as you use in scholarly research or teaching Versions hosted by educational institutions or located in databases are some of the best options

  13. Lets search for the 1889 Meiji Constitution of Japan this .edu file looks good

  14. Now that we have found our text, we need to know how to upload it onto Voyant.

  15. Now that we have our text,let s go to voyant- tools.org

  16. What you should see

  17. Three Basic Options

  18. For todays workshop, Let s copy and paste the corpus into the text box.

  19. When you copy and paste a text, check to see if you can delete the parts that you know were not a part of the original! (It s useful to check the beginning and the end)

  20. If your text is long or your file is big, you may have to wait

  21. Explore visualizations

  22. Initial Results

  23. Word Cloud Original Text Frequency of words as the text progresses Every place a particular word is found in the text List of MFW

  24. Click Terms at the top left of your screen to browse the MFW list.

  25. I browse the list and want to see subjects and emperor, so I check the boxes. Look at what happened at the right side of the screen.

  26. I want to know more about where emperor occurs, so on the bottom right of the screen, in the Contexts box, I type in emperor. Now I can see the sentences where emperor appears.

  27. If I click any line in the Contexts box, the Reader box in the top middle will take me straight to that part, so I can read the text!

  28. Lets say I dont see anything interesting in one of the boxes. Hover over the blank horizontal bar at the top of the box, and click the window icon for more options.

  29. Bubbles (In Document Tools) shows an animated list showing which words appear at different parts!

  30. Interpret your text

  31. What do these results tell us about our text? In Cirrus, the word cloud, what did you see about the importance of certain terms? Why are some terms more important than others? Did you expect certain words to be bigger or smaller? In the Trends box, did you see interesting relationships between two or more terms? What was your favorite Voyant window or tool? Why? What did it tell you about the text?

  32. Part 3 Advanced Options

  33. Some advanced options Searching more carefully Saving your results Embedding in a larger project Thinking reflexively

  34. Searching more carefully

  35. Know exactly what word you re searching for http://voyant- tools.org/docs/#!/guide/search

  36. Saving your results

  37. See something you like? Hover over the top bar and click the box with an arrow coming out.

  38. Which option? Export View This is for citation purposes. You can either copy the HTML snippet to be able to embed the whole project in a website, or you can get a citation (bibliographic reference) that will let you cite your work in a research paper. Export Current Data This is for advanced users who want to save the data as a set or subset. Export Visualization If you only want that one tiny window (the single image that is right below the window icon you clicked) Will allow you to download your image (probably want you want!)

  39. Embedding in a larger project When you are reading a text for homework, you could consult Voyant to help you understand the text s primary themes. You can also use Voyant to find trends in an author s style, especially if you compare results from other authors or from other texts written by another author. Supplement Voyant results with traditional research from scholarly sources such as subject encyclopedia, scholarly monographs, and academic journals.

  40. Thinking reflexively What did you not like about Voyant? What questions can Voyant not answer? Is this a problem of Voyant, or of any Most Frequent Word analysis? How does counting help us read texts distantly? Do you prefer close reading, and if so, why? When would you use Voyant in the future?

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