The Corpus Based Approach to Sentiment Analysis in Modern Standard Arabic and Arabic Dialects: A Literature Review

Abstract

Sentiment Analysis, is the analysis of ideas, emotions, evaluations, values, attitudes and feelings about products, services, companies, individuals, tasks, events, titles and their characteristics. With the increase in applications on the Internet and social networks, Sentiment Analysis has taken a considerable place in the field of text mining research and has since been used to explore the opinions of users about various products or topics discussed over the Internet. When the literature on Sentiment Analysis is examined, it is seen that the natural language of the Internet information sources that form the basis of the analysis is mostly English. Developments in the fields of Natural Language Processing and Computational Linguistics have contributed positively to Sentiment Analysis studies made from natural languages other than English. The purpose of this study is to examine the literature of Sentiment Analysis conducted in Arabic internet information sources. The literature review includes studies based on the corpus approach, which is made up of Arabic Internet information sources. Studies are being carried out on the works which constitute their own corpora for both Modern Standard Arabic and Arabic dialects and on which sentiment analysis is performed.