Big Data Analytics for Opinion Mining and Patterns Detection of the Tunisian Election

Big Data refers to an enormous volume of structured and unstructured data that cannot be handled with traditional databases. The emergence of big data is due to the huge quantities of information. Currently, researchers tend to study big data particularly data produced from social networks. Nowadays, these latest become a vital and crucial tool in tracking and extracting public opinion for developed countries o↵ering benefits to the democratic process of election. In this paper, we aim to identify the political preferences and tendency of the Tunisian population using classification and opinion mining techniques. To prove the usefulness of the proposed method, we analyze electoral data sets in Tunisia obtained from the o cial sites of independent higher instance for election. This analysis demonstrates close correspondence between election results and extracted opinion.