Arabic Sentiment Analysis Based on Word Embeddings and Deep Learning

Social media networks have grown exponentially over the last two decades, providing the

opportunity for users of the internet to communicate and exchange ideas on a variety of topics. The

outcome is that opinion mining plays a crucial role in analyzing user opinions and applying these to

guide choices, making it one of the most popular areas of research in the field of natural language

processing. Despite the fact that several languages, including English, have been the subjects of

several studies, not much has been conducted in the area of the Arabic language. The morphological

complexities and various dialects of the language make semantic analysis particularly challenging.

Moreover, the lack of accurate pre-processing tools and limited resources are constraining factors.

This novel study was motivated by the accomplishments of deep learning algorithms and word

embeddings in the field of English sentiment analysis.