@article{3449,
  author = {Kamel JAFAR, Bassel ALKHATIB, Hazem WANNOUS},
  title = {A Survey of Sentiment Analysis in the Arabic Language},
  journal = {Journal of Digital Information Management},
  year = {2022},
  volume = {20},
  number = {1},
  doi = {https://doi.org/10.6025/jdim/2022/20/1/10-24},
  url = {https://www.dline.info/fpaper/jdim/v20i1/jdimv20i1_2.pdf},
  abstract = {"What the others think?" is an essential question for individuals, companies, and governments. All need to know the public opinions to make their decisions wisely. In the last decade, sentiment analysis and opinion mining have become one of the growing research areas. This paper presents the current state of sentiment analysis and opinion mining research. In particular, researches those deals with the Arabic language. We tried to cover the techniques and methods in sentiment analysis and the challenges in the field. We described the leading methods and approaches that have been introduced in the literature for Arabic Sentiment analysis and opinion mining. The main contributions of this paper include the sophisticated categorizations of a large number of recent articles about Arabic Sentiment analysis. These articles are categorized according to their contributions in the various sentiment analysis techniques.},
}