To determine whether a document or a sentence expresses a positive or negative sentiment,
three main approaches are commonly used: the lexicon-based approach, corpus-based …

At a time when research in the field of sentiment analysis tends to study advanced topics in
languages, such as English, other languages such as Arabic still suffer from basic problems …

Arabic sentiment analysis has become an important research field in recent years. Initially,
work focused on Modern Standard Arabic (MSA), which is the most widely used form. Since …

Text preprocessing plays an important role in natural language processing (NLP) tasks
containing text classification, sentiment analysis, and machine translation. The …

Polarity classification is one of the most fundamental problems in sentiment analysis. In this
paper, we propose a novel method, Sound Cosine Similaritye Matching, for polarity …

The Arabic index term selection is a challenging process due to the complex morphological
nature of the Arabic language. Index term selection is a significant factor that affects the …

Özet The intensive use of social media during the" Arab Spring" incidents, has led to a
sudden growth of the online Arabic opinionated content. Sentiment Analysis can recognize …