Mohamed Elhag M. Abo, Nordiana Binti Ahmad Kharman Shah
Abstract
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Abstract
The Machine Learning (ML) algorithms is a powerful technique for sentiment analysis, merely having a machine learning algorithm is not sufficient for the Arabic language sentiment analysis without proper pre-processing steps (Duwairi & El-Orfali, 2014). Moreover, the algorithm needs to evaluate by applying it to standard Arabic standard data set to choice best model and ML algorithms preferences and ultimately provide them with a customised experience. However, there is no standard and appropriate dataset available for Arabic the overall evaluation of ML algorithms (Zaidan & Callison-Burch, 2014). Notwithstanding, many machine learning algorithms give promising results with the use of appropriate pre-processing. In this paper, we perform an extensive survey to identify the most used of ML algorithms for Modern Standard Arabic (MSA) and Dialect Arabic (DA) from the literature.
د. محمد الحاج محمد أبو | Dr. Mohamed Elhag Mohamed Abo | 8803