As far I know, all the major qualitative analysis programs now include word clouds, but NVivo and MAXQDA are the only ones I know that iincludes word trees. Personally, I consider word clouds to be a weak form of qualitative analysis, since all they show you is which codes you used most often, and thus do little to interpret the meaning of the data.
As far I know, all the major qualitative analysis programs now include word clouds, but NVivo and MAXQDA are the only ones I know that iincludes word trees. Personally, I consider word clouds to be a weak form of qualitative analysis, since all they show you is which codes you used most often, and thus do little to interpret the meaning of the data.
You can easily generate word clouds in NViVo, or on lots of free to use websites. I'm seeing more and more journal articles with them in, but I@m not convinced they offer much as an analytical technique, other than as a useful illustration or starting point.
There are numerous websites where you can get wordclouds in a jiffy (e.g. www.wordcloud.com), however, wordcloud is just the beginning - a form of raw data - and requires systemetic and thorough analysis by the researcher to derive meaning.
Use library {wordcloud} in R to make a word cloud, here is example of my code, you can use it:
Code R script for a wordcloud: a visual presentation of the conce...
Note: before executing R script you need first to create a text file (.txt) with all your words and store in the same folder where your R script is located. It is important, because R will refer to this file using its pathway. Just take a look how I did it in my github repository: