ATLAS.ti is one of the leading computer assisted qualitative data analysis softwares. Data import from Twitter and its analysis is one of the highlights of ATLAS.ti. It deals with multiple aspects in working with qualitative data, and the software features can be used to address a wide variety of qualitative research needs, such as setting up a project, adding data and documents, creating memos, importing Twitter data, and analyzing Twitter data. The topics covered in this present short paper are:
I have finalized my research question and hashtags for the present study: What are the Twitter opinions on the recently enacted “Citizenship Amendment Act – 2019 (CAA-2019)”. #CAA, #Citizenship_act, #CitizenshipAct
Now you have created a new project in ATLAS.ti. It will look something like this:
In this step the data must be imported from Twitter by using appropriate and pre-decided hashtags. Here, tweets are considered as quotations and Twitter data analysis is nothing but an analysis of tweets on any specific issues of research questions.
As I already mentioned I am using my pre-decided hashtags #CAA, #Citizenship_act, #CitizenshipAct.
I have selected mixed result type, including only tweets and images, selected Author, Hashtag, Mentions, Locations and Language for coding. I also selected to get author-mention and author-location links.
Now the data is ready for analysis.