As such, we might conclude that social media data is a foe of NLP, in that it challenges traditional assumptions made in NLP research on the nature of the target text and the requirements for real-time responsiveness.
if we look beyond the immediate text content of social media, we quickly realise that there are various non-textual data sources that can be used to enhance the robustness and accuracy of NLP models, in a way which is not possible with static text corpora.