Recent work in sarcasm detection on social media has tried to incorporate contextual information by exploiting the preceding messages of a user, to e.g., detect contrasts in sentiments expressed towards named entities (Khattri et al., 2015), infer behavioural traits (Rajadesingan et al., 2015) and capture the relationship between authors and the audience (Bamman and Smith, 2015).
all of these approaches require the design and implementation of complex features that explicitly encode the content and (relevant) context of messages to be classified.