عنوان المقالة:استعراض لوغريثمات التي تعمل مع اللغة العربية Arabic Sentiment Analysis: An Overview of the ML Algorithms
د. محمد الحاج محمد أبو | Dr. Mohamed Elhag Mohamed Abo | 8693
نوع النشر
مؤتمر علمي
المؤلفون بالعربي
محمد الحاج محمد
المؤلفون بالإنجليزي
Mohamed Elhag M. Abo, Nordiana Binti Ahmad Kharman Shah
الملخص العربي
أنظر الملخص
الملخص الانجليزي
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.
تاريخ النشر
12/07/2018
الناشر
Data Science Research Symposium 2018
رقم المجلد
رقم العدد
الصفحات
2
الكلمات المفتاحية
sentiment analysis
رجوع