Sentiment Analysis of Multilingual Dataset of Bahraini Dialects, Arabic, and English

Sentiment analysis is an application of natural language processing (NLP) that requires a machine learning algorithm and dataset. In some cases, the dataset availability scarce, particularly with Arabic dialects, precisely Bahraini ones, which necessitates using approach such as translation, where rich source exploited to create target this study, Amazon product reviews in dialects presented. This was generated two cascading stages translation—a translation followed by manual one. Machine applied Google Translate translate English into Standard Arabic. contrast, resulting ones qualified native speakers utilizing constructed customized forms. The parallel English, Arabic, called English_Modern Arabic_Bahraini Dialects for sentiment “E_MSA_BDs-PR-SA”. balanced, composed 2500 positive negative reviews. process implemented stacked LSTM deep model. dialect can be utilized transfer sentimentally analyzing another dialects.