Research on Methods for Processing Nonstandard Korean Words on Social Network Services
소셜네트워크서비스에 활용할 비표준어 한글 처리 방법 연구

Jong-Hwa Lee, Hoanh Su Le, Hyun-Kyu Lee
2016 Journal of the Korea Industrial Information Systems Research  
Social network services (SNS) that help to build relationship network and share a particular interest or activity freely according to their interests by posting comments, photos, videos,... on online communities such as blogs have adopted and developed widely as a social phenomenon. Several researches have been done to explore the pattern and valuable information in social networks data via text mining such as opinion mining and semantic analysis. For improving the efficiency of text mining,
more » ... word-based approach have been applied but most of researchers argued the limitations of the rules of Korean orthography. This research aims to construct a database of non-standard Korean words which are difficulty in data mining such abbreviations, slangs, strange expressions, emoticons in order to improve the limitations in keyword-based text mining techniques. Based on the study of subjective opinions about specific topics on blogs, this research extracted non-standard words that were found useful in text mining process.
doi:10.9723/jksiis.2016.21.3.035 fatcat:agagp3gyg5buhdcrqg2tnbqtca