{"id":10987,"date":"2019-05-06T16:03:38","date_gmt":"2019-05-06T19:03:38","guid":{"rendered":"https:\/\/tarciziosilva.com.br\/blog\/?p=10987"},"modified":"2019-05-11T11:43:55","modified_gmt":"2019-05-11T14:43:55","slug":"text-analysis-with-antconc-for-social-media-data-keyword-lists-and-keyness","status":"publish","type":"post","link":"https:\/\/tarciziosilva.com.br\/blog\/text-analysis-with-antconc-for-social-media-data-keyword-lists-and-keyness\/","title":{"rendered":"Text Analysis with AntConc for social media data: Keyword Lists and Keyness"},"content":{"rendered":"

\"\"<\/p>\n

The <\/span>Keyword List<\/b> tool measures which words are unusually frequent or infrequent in datasets or corpora compared to a reference\/benchmark word list (or files).<\/span><\/p>\n

This post is part of a series of tutorials about AntConC<\/strong>:<\/p>\n

    \n
  1. Intro, Opening a File and Settings<\/a><\/li>\n
  2. Word Lists and File Viewer\u00a0<\/a><\/li>\n
  3. Concordancer and Concordance Plot\u00a0<\/a><\/li>\n
  4. Clusters and N-Grams<\/a><\/li>\n
  5. Collocations\u00a0<\/a><\/li>\n
  6. Keyword Lists<\/strong><\/li>\n<\/ol>\n

     <\/p>\n

    Uploading a Keyword List and analyzing keywords \/ keyness metric
    \n<\/em><\/strong>1. As usual, the first step is to open your files\/corpora and produce a word list. For that example, we are going to use the file with 16k tweets containing the term \u201cBrazil\u2019 (<\/span>    download it<\/span><\/a>): .<\/span><\/p>\n

    2. Generate the word list through the <\/span>Word List<\/span><\/i> tab.<\/span><\/p>\n

    \"\"<\/p>\n

     <\/p>\n

    3.\u00a0Basically, the <\/span>Keyword List<\/span><\/i> tool compares your files\/corpora to one or more reference\/benchmark files\/corpora to highlight which words are more unusually frequent or infrequent. Or, in other words, which words are <\/span>key<\/b>words in file(s)\/corpora.<\/span><\/p>\n

    There are three main ways of using the<\/span> Keyword List<\/span><\/i> tool:<\/span><\/p>\n