Abstract
The purpose of this paper is to introduce a new methodology of big-data analysis, i.e Culture-mining. In this paper, culture-mining is defined as ‘the process of finding useful or interesting ‘cultural elements’ –life styles, patterns, fashions, trends, models, beliefs, rules, frames etc.- of a specific region or a generation from unstructured text, various image sets by comparing different languages and cultures.’ (Application Number: 40-2020-0207048). With the advent of the 4th industrial revolution era, the boundary of the existing academic fields have lost meaning and the need for full-scale interdisciplinary science has been called for. Culture mining research, which requires a deep understanding and analytical ability regarding the language along with knowledge of natural language processes & databases, is considered to be a new attempt at the interdisciplinary research between Humanities and Computer science.
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