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