An Investigation of Candidate Leaders’ Tweet Campaigns Prior to the Istanbul Metropolitan Municipal Elections Using Big Data Text Mining

Abstract

Technological advances have provided a great opportunity for users to share information, create an archive database and access information easily. Using ‘big data’ (which includes not only user-generated data, but also data generated by sensors and machines), in order to analyze and archive large amounts of data in different formats is a concept that is continuously increasing. In recent years, not only public institutions and large companies, but also academic institutions and non-profit sectors and institutions have used it used for the purpose of creating information networks. In this study, the archive database of the Turkish Cinema Research (TSA) web page, which constitutes a very large archive database in the field of Turkish cinema, is examined. Thus, this study has contributed to the literature on big data and cinema. The TSA, which can be considered as a very extensive and comprehensive database in the field of Turkish cinema, was selected using the purposive sampling technique. In this study, which is thought will lead to new research and discussions on big data, descriptive analyses are put forward as quantitative and qualitative data and are analyzed using the document analysis technique from qualitative research methods. The documents created on the TSA web page were analyzed within the framework of the coding chart created in the research. While the limitation of the study is the variability feature of the data consisting of computer-based online environment data, it is aimed to eliminate this limitation with the cross-sectional time determined as the analysis method.