| to | title | subtitle | author | date | lang | smart | documentclass | colorlinks | hyperrefoptions | ||
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pdf |
My WordCloud Experience |
HowTo |
Dr. Bastian Ebeling |
29.th March 2021 |
de-DE |
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scrartcl |
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The following ideas and experiences are based on reading the sources tds also available under tds_archive. As I'm native german, I also read .
The followings steps here describe the steps based on the python package wordcloud. You can find the documentation here.
First extract your text from the source.
For sure you want to remove so called stopwords, those ones with high frequency but nearly no meaning - such like a, we, you, me, and, or, how and so on.
For doing this with python I know the following three options
- use the integrated stopwords in the python package
- use those stopwords from the package stop-words described at https://github.com/Alir3z4/python-stop-words
- or use the (international) stopwords from the package stopwordsiso described at https://github.com/stopwords-iso/stopwords-iso
If you want an non rectangular shape, you need to tell the shape to use.
https://towardsdatascience.com/simple-wordcloud-in-python-2ae54a9f58e5
You can read the german article 4 einfache Wege, um eine Wortwolke in PowerPoint zu generieren on using word clouds in PowerPoint presentations.
- https://monkeylearn.com/word-cloud/
- https://www.jasondavies.com/wordcloud/
- https://wordart.com/create
- https://www.wortwolken.com/
- Live WordCloud MentiMeter