Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media Analysis. (arXiv:2201.07281v1 [cs.CL])

Social media data such as Twitter messages ("tweets") pose a particular
challenge to NLP systems because of their short, noisy, and colloquial nature.
Tasks such as Named Entity Recognition (NER) and syntactic parsing require
highly domain-matched training data for good performance. While there are some
publicly available annotated datasets of tweets, they are all purpose-built for
solving one task at a time. As yet there is no complete training corpus for
both syntactic analysis (e.g., part of speech tagging, dependency …

analysis arxiv building media nlp social social media