Comparing genres of Indonesian literature by utilizing big data

Abstract

An academic study of literature generally requires researchers to understand literary genres, writers, periods, and even ideological clashes. A researcher is possibly able to master a wide range of literature dated back from the biblical period up to now in detail. In a certain case, comparing literary genre in a particular period provides a general understanding of literary trends. This paper offers a comparison of Indonesian literature genres by applying computational analysis in the context of Big Data utilization in Indonesian literature. Through the computational analysis, literary genres will be compared along with its popular authors following certain periods and trends. By transferring various literary works into the data, this analysis yields a diverse map of literary works that emerged in the Internet. The data reveals the relationship of literary characters that change over time. This paper argues that the use of computational analysis in the context of big data can be very helpful for scholars to know quickly and succinctly the Indonesian literature genres which is marked by certain categorization.