Arabic Social media Analytics and unDerstanding (ASAD) is a suite of systems for analyzing Arabic social media content with main focus on Twitter
The modules we provide are Dialect Identification, Sentiment Analysis, Emotion Detection, News Category Detection, Offensive Language Detection, Hate Speech Detection, Adult Content Detection, Spam Detection, Location to Country, Name to Country, and Gender Classification. More will be added soon. The modules are also accessible via web APIs. This requires registration and obtaining an API key that can be used when calling the APIs. Most of the modules and their inner details are provided in the related publications. The modules are provided for demonstration and research purposes only. For commercial purposes, please reach out to the team for licensing and commercialization agreements.