Using Hybrid-Stemming Approach to Enhance Lexicon-Based Sentiment Analysis in Arabic

The objective of this article is to present a hybrid stemming approach to enhance lexicon based sentiment analysis (SA) in Arabic in both sentence-level and document level. The new approach uses root-based and light stemmers together to enhance the likelihood of finding sentiment words. We applied the proposed hybrid-stemming approach into two datasets and four lexicons, and we provided a comparison with root-based stemmer and light stemmers individually. The results we obtained demonstrate that the presented hybrid-stemming approach is more accurate than both root-based stemmers and light stemmer when they are using separately for sentiment analysis in Arabic.