A recent survey of Arabic named entity recognition on social media

Abstract

In the last few years, significant amounts of text data have emerged on the different social media platforms. A tendency to extract valuable information from these data for useful purposes has been created and developed. The Named Entity Recognition (NER), as a sub-task of the Natural Language Processing (NLP), remains primordial in order to perform these extractions and the classification of entity names from the text regardless of its structure "formal or informal". Nevertheless, the most recent solutions for NER are confronted with the difficulty of adapting to the informal texts used on social media platforms. This work aims at providing a literature review of the various papers published in the field of NER on social media starting from 2014 until now, by identifying the particular characteristics surrounding the Arabic dialect compared to the English language.