Moroccan Code-Mixing and a Comparative Study of the Best-Ranked Classifiers
Fadoua Mansouri1, Sadiq Abdelalim2
1Fadoua MANSOURI, SIM team of MISC Laboratory Faculty of Science, University IBN TOFAIL, Kenitra, Morocco.
2Sadiq ABDELALIM, SIM team of MISC Laboratory Faculty of Science, University IBN TOFAIL, Kenitra, Morocco.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 983-987 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7063068519/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The code-mixing called also code-switching is a linguistic term which indicates the passage from one language to another or from a dialect to a language and vice versa, by speakers who have more than one language in common. So to be able to understand and study a community, we need to understand the different means of communication that this community uses. The main purpose of our research is studying and analyzing the opinions of Moroccan Internet users. Those opinions are mainly posted on the web and social media, thus the major goal of this paper is to describe this new sociolect language or code-mixing that Moroccan internet users use, also we will present in this paper a comparative study of the best-ranked linguistic classifiers that we run on a sociolect corpus that we have built by extracting data from the web.
Keywords: Linguistic Classifiers, Moroccan Code-Mixing, Moroccan Sociolect Language, Naïve Bayes Classifier, KNN, SVM
Scope of the Article: Classification