Sentiment analysis for Sudanese dialect Arabic. Sentiment analysis is a set of procedures used to extract subjective opinions from the text. One of the significant limitations in the field of text classification is the exclusive focus on the English language. There is a need to bridge this gap by developing efficient methods and tools for sentiment analysis in the Arabic language. Moreover, reliable corpus and lexicons are needed. For sentiment analysis, many tools were developed for the English language. Nevertheless, there is a need to develop lexicons, corpus, techniques, and tools to process Arabic dialects. in addition the complex nature of the Arabic language itself is an essential factor to be considered. This complexity presents in many forms; such as many dialects each with different morphology and lexicon which imposes challenges for automatic text classification tasks.