Announcement


Seongmin is a Ph.D. candidate in University Paris Ouest Nanterre. His research interests include language recognition system, computational linguistics, data visualization, and machine learning. Seongmin is currently working as a graduate student researcher and also a freelance data analysis lecturer. This part introduces the systems he developed in relation to his research.




Visual system



PostVis.ko

In this project, we use several NLP methods for the analysis of the Korean corpora in other to reveal the nature of polysemy involving postpositions in Korean.
Code: github


ParallelSentimentVis

Through this study, we verified final prediction model and suggested analysis method extract variety of information from the data.

Code: github


BubbleJoseon

This study present a way to create and analyze human relationship visualizations using data from Genealogy of the Kwon family and the Annals of the Joseon Dynasty.

Code: github


RhapVis

Through this study, we verified final prediction model and suggested analysis method extract variety of information from the data.

Code: github


MultiAxisVis

This visualization uses MultiAxis Plot to help users select and analyze the variables and legends they want.

Code: github


MultiwordVis

In this project, we propose a visual system that accurate extracts topic results with multiple word combinations.

Code: github


SequenBurst

This project proposes a visualization that can be used to easily find the important terminal nodes and grasp the decision variables.

Code: github


OpinionAnalyzer

This research proposes a methodology to analyze the responses of movie audiences with the visualization.

Code: github


SankeyTree

In this project, we propose a visualization that can be used to easily find the main terminal nodes in decision tree.

Code: github



GenealogyVis

This study present a way to create visual system to analyze Genealogy of the Kwon family based on collaboration with historians.

Code: github


PreechVis

In this project, we propose PreechVis, an interactive-visualization tool that includes all of the requisite functions for an analysis for which multiple words are utilized.

Code: github


DepVis

Through this visualization, we compared the accuracy of algorithms that recognize MWEs with those that do not recognize MWEs.

Code: github






Recognition system



MWCs Parser

In this project, we propose MWCs Parser, an recognition system that recognizes MWEs and can even analyze its internal structure.





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