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A prototype for a standard arabic sentiment analysis corpus

The researchers in the field of Arabic sentiment analysis (SA) need a relatively big standard Arabic sentiment analysis corpus to conduct their studies. There are a number of existing Arabic datasets; however they suffer from certain limitations such as the small number of reviews or topics they contain, the restriction to Modern Standard Arabic (MSA), or not being publicly available. Therefore, this study aims to establish a flexible and relatively big standard Arabic sentiment analysis corpus that can be considered as a pillar and cornerstone to build larger Arabic corpora. In addition to MSA, this corpus contains reviews written in the five main Arabic dialects (Egyptian, Levantine, Arabian Peninsula, Mesopotamian, and Maghrebi group). Furthermore, this corpus has other five types of reviews (English, mixed MSA & English, French, mixed MSA & Emoticons, and mixed Egyptian & Emoticons). This corpus is released for free to be used by researchers in this field, where it is characterized by its flexibility in allowing the users to add, remove, and revise its contents. The total number of topics and reviews of this initial copy is 250 and 1,442, respectively. The collected topics are distributed equally among five domains (classes): Economy, Food-Life style, Religion, Sport, and Technology, where each domain has 50 topics. This corpus is built manually to ensure the highest quality to the researchers in this field.