Specifically, I would be interested to see whether a keyword can be searched in social media, say Facebook, and all comments can be fetched and analyzed by using text analytic software. Thank you.
Most of the researchers have used scripts to download data from social networking sites in their studies. A list of tools for text analytics is available at:
https://en.wikipedia.org/wiki/List_of_text_mining_software
Probably the most popular choice is the Natural Language Toolkit (http://www.nltk.org/) for Python.
Second most popular choice is probably the packages available for R from the Comprehensive R Archive Network (https://cran.r-project.org/).
You can use R statistical tool with Twitter API to get all tweets about a given hash tag.
As mentioned by Safwan, you can use 'R'. It has both API for getting data from twitter and facebook. There are some restrictions though. After getting the data you can use 'tm' , 'RTextTools' for processing the data. I have heard Python is better for text processing.
Have a look at the RFacebook package. You might also want to look into the httr package for API fetching nut that is a bit more complicated.
Once NVivo could do facebook scraping but I dont know if that is the case anymore.
I agree with them in using R. There are many packages for connecting with social media APIs such as rTwitter, rFacebook, and many packages for text mining and visualization. Moreover, it is easy to implement. I have used R for my research too. :D
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