Have you looked at MaxQDA? I am happily using it for a smaller video dataset. I noticed in the most recent upgrade it has increased its Twitter-handling capacity, though I do not have the details to hand. It may not be powerful enough but it has a free 14 day trial (and has the great benefit of being easy to use)
On 23 May 2018, at 03:22, f hodgkins <frances.hodgkins@gmail.com> wrote:
All- I am working on a qualitative content analysis of a historical tweet set from CrisisNLP from Imran et al.,(2016). http://crisisnlp.qcri.org/lrec2016/lrec2016.html I am using the California Earthquake dataset. The Tweets have been stripped down to the Day/Time/ Tweet ID and the content of the Tweet. The rest of the Twitter information is discarded.
I am using is NVIVO- known for its power for content analysis --
However - I am finding NVIVO unwieldy for a data of this size (~250,000 tweets). I wanted each unique Tweet to function as its own case. But - Nvivo would crash everytime. I have 18G RAM and a Raid Array. I do not have a server - although I could get one.
I am working and coding side by side in Excel and in NVIVO with my data in 10 large sections of .csv files, instead of individual cases- and this is working (but laborious).
QUESTION: Do you have any suggestions for software for large-scale content analysis of Tweets? I Do not need SNA capabilities.
Thank you very much, Fran Hodgkins Doctoral Candidate (currently suffering through Chapter 4) Grand Canyon University USA