Lexicon-Based System for Drug Abuse Entity Extraction from Twitter

Drug abuse and addiction is a serious healthcare problem and social phenomenon that has not received the interest deserved in scientific research due to the lack of information. Today, social media have become an ubiquitous source of information in this field since they are the environment on which addicted individuals rely to talk about their dependencies. However, extracting salient information from social media is a difficult task regarding their noisy, dynamic and unstructured character. In addition, natural language processing tools (NLP) are not conceived to manage social data and cannot extract semantic and domain-specific entities.

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