{"id":922,"date":"2020-01-29T18:13:33","date_gmt":"2020-01-29T13:13:33","guid":{"rendered":"http:\/\/sites.nd.edu\/emorgan\/?p=922"},"modified":"2020-01-29T18:13:33","modified_gmt":"2020-01-29T13:13:33","slug":"wordle","status":"publish","type":"post","link":"https:\/\/sites.nd.edu\/emorgan\/2020\/01\/wordle\/","title":{"rendered":"Wordle and the Distant Reader"},"content":{"rendered":"

\nVisualized word frequencies, while often considered sophomoric, can be quite useful when it comes to understanding a text, especially when the frequencies are focused on things like parts-of-speech, named entities, or co-occurrences. Wordle<\/a> visualizes such frequencies very well. For example, the 100 most frequent words in the Iliad<\/cite> and the Odyssey<\/cite>, the 100 most frequent nouns in the Iliad<\/cite> and the Odyssey<\/cite>, or the statistically significant words associated with the word ship from the Iliad<\/cite> and the Odyssey<\/cite>.\n<\/p>\n

\"words\"<\/a>

simple word frequencies<\/p><\/div>\n

\"nouns\"<\/a>

frequency of nouns<\/p><\/div>\n

\"ship\"<\/a>

Significant words related to ship<\/p><\/div>\n

Wordle recipes<\/h2>\n

\nHere is a generic Wordle recipe where Wordle will calculate the frequencies for you:\n<\/p>\n

    \n
  1. Download and install Wordle. It is a Java application, so you may need to download and install Java along the way, but Java is probably already installed on your computer.<\/li>\n
  2. Use your text editor to open reader.txt which is located in the etc directory\/folder. Once opened, copy all of the text.<\/li>\n
  3. Open Wordle, select the “Your Text” tab, and paste the whole of the text file into the window.<\/li>\n
  4. Click the “Wordle” tab and your word cloud will be generated. Use the Wordle’s menu options to customize the output.<\/li>\n<\/ol>\n

    \nCongratulations, you have just visualized the whole of your study carrel.\n<\/p>\n

    \nHere is another recipe, a recipe where you supply the frequencies (or any other score):\n<\/p>\n

      \n
    1. Download and install AntConc.<\/li>\n
    2. Use the “Open Files(s)…” menu option to open any file in the txt directory.<\/li>\n
    3. Click the “Word list” tab, and then click the “Start” button. The result will be a list of words and their frequencies.<\/li>\n
    4. Use the “Save Output to Text File…” menu option, and save the frequencies accordingly.<\/li>\n
    5. Open the resulting file in your spreadsheet.<\/li>\n
    6. Remove any blank rows, and remove the columns that are not the words and their frequencies<\/li>\n
    7. Invert the order of the remaining two columns; make the words the first column and the frequencies the second column. <\/li>\n
    8. Copy the whole of the spreadsheet and paste it into your text editor. <\/li>\n
    9. Use the text editor’s find\/replace function to find all occurrences of the tab character and replace them with the colon (:) character. Copy the whole of the text editor’s contents.<\/li>\n
    10. Open Wordle, click the “Your text” tab, paste the frequencies into the resulting window.<\/li>\n
    11. Finally, click the “Wordle” tab to generate the word cloud.<\/li>\n<\/ol>\n

      \nNotice how you used a variety of generic applications to achieve the desired result. The word\/value pairs given to Wordle do not have be frequencies. Instead they can be any number of different scores or weights. Keep your eyes open for word\/value combinations. They are everywhere. Word clouds have been given a bad rap. Wordle is a very useful tool.<\/p>\n","protected":false},"excerpt":{"rendered":"

      Visualized word frequencies, while often considered sophomoric, can be quite useful when it comes to understanding a text, especially when the frequencies are focused on things like parts-of-speech, named entities, or co-occurrences. Wordle visualizes such frequencies very well. For example, the 100 most frequent words in the Iliad and the Odyssey, the 100 most frequent […]<\/p>\n","protected":false},"author":92,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10716],"tags":[],"class_list":["post-922","post","type-post","status-publish","format-standard","hentry","category-distant-reader"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/emorgan\/wp-json\/wp\/v2\/posts\/922","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nd.edu\/emorgan\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sites.nd.edu\/emorgan\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/emorgan\/wp-json\/wp\/v2\/users\/92"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/emorgan\/wp-json\/wp\/v2\/comments?post=922"}],"version-history":[{"count":8,"href":"https:\/\/sites.nd.edu\/emorgan\/wp-json\/wp\/v2\/posts\/922\/revisions"}],"predecessor-version":[{"id":933,"href":"https:\/\/sites.nd.edu\/emorgan\/wp-json\/wp\/v2\/posts\/922\/revisions\/933"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/emorgan\/wp-json\/wp\/v2\/media?parent=922"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sites.nd.edu\/emorgan\/wp-json\/wp\/v2\/categories?post=922"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sites.nd.edu\/emorgan\/wp-json\/wp\/v2\/tags?post=922"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}