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kmariem1    0

In our project we uploaded transcripts with both interviewer questions and interviewee responses. How can we run a word frequency analysis that excludes the interviewer's questions? In other words, our transcripts were Word docs in which we created headings, so we had one heading for the interviewer and other headings for the interview subject(s). We imported these transcripts into "internals," thinking we could auto code and identify text to exclude. But we now understand that auto coding is not a function of the Mac version of NVivo. Is there any other way for a Mac user to create accurate word clouds or word frequencies that will exclude the interviewer text?

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QSRSupport    76

Hi Kmariem1

You can’t auto code in NVivo for Mac, but you could manually code your interviewee responses to a node and then run your word frequency query on this node. The results would then include only the text that you have coded to your “interviewee” node.

If you have access to NVivo for Windows you could use NVivo for Windows to auto code your interview transcripts. Your automatically coded nodes and cases would still be available when you convert your project back to a Mac compatible format. If you’re interested in this approach, you might find the following links helpful:  

Work with your project on windows or Mac: http://help-nv11.qsrinternational.com/desktop/deep_concepts/work_with_your_projects_on_windows_or_mac.htm? 

Auto coding in NVivo for Windows: http://help-nv11.qsrinternational.com/desktop/procedures/automatic_coding_in_document_sources.htm

Kind Regards,


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mary2015    0

HI Heather,

I have a question about word cloud.  i'd like my word cloud to show the whole phrase rather than one word.  In FAQ, i learnt that you need to  edit the word list and add a ~ between two words. For example: lorem~ipsum.  https://www.wordclouds.com/faq/

 I just dont' understand where and how to edit the "word list"?  i edited my source and added ~ between the words but that didn't change the word cloud. 

Thanks Heather, i really appreciate your help.

cheers, M


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