Is there anything preventing Rapidminer from being used instead of the well-known qualitative analysis programs Atlas.ti, Nvivo, Maxqda etc.? Are there anyone who do qualitative research and use Rapidminer? What are your suggestions?
I have to admit that I do not know anyone who has used Rapidminer, so my questions would be "what does it do?" and "how much does it cost?"
With regard to the first question, a quick look at its website shows that they are selling data mining to businesses, with the "pitch" that you don't have to know anything in order to use it.
Is that really what you want?
If your goal is to do data mining, NVivo is the most developed of the standard programs in this regard. Otherwise, there are specific (but expensive) programs for this purposes, such as QDA Miner and Leximancer.
David L Morgan In fact, Rapidminer is free for those who will do scientific work. For this reason, if there is no difference in application with these other paid qualitative analysis programs mentioned above, I would like to use Rapidminer.
Yes, it can be used in qualitative research. The link below indicates several studies that utilized RapidMiner. However, most scholars seek free or freemium Software/App to conduct their qualitative analysis. RapidMiner is not!
RapidMiner as a data mining suite for academics is free but requires a license request via their website. We have been using this software for 10+ years. Having said that, it is a general data mining suite with some statistical application and not a dedicated qualitative software application.
The RapidMiner has an Educational free license for academic usage as others said.
Dear Volkan Aşkun
I checked the NVivo (I was not familiar with that), and I see that it has many features for data management in qualitative researches, but RapidMiner has not those features because it is just a data analyzing (mining) tool. You can use it to analyze your data (structured or non-structured like texts) and report its results in your research. For example, you can use RM for text clustering, data prediction, and classification.