Most research to date on social media text has used very shallow text processing (such as keyword-based time-series analysis), with natural language processing (NLP) tools such as partof-speech taggers and parsers tending to be disfavoured because of the perceived intractability of applying them to social media text.
there has been little analysis quantifying just how hard it is to apply NLP to social media text, or how intractable the data is for NLP tools.