Analysis and Improvement Plans on Visualization Systems for Word Analysis: Focused on Word2Vec

Abstract

As a number of studies on big data have been conducted, a great deal of information is extracted and shared by analyzing data. Studies on extracting useful information through artificial neural network based machine learning from accumulated voluminous document data have been made. Recently, Word2Vec that has overcome complexity of natural language processing machine learning has appeared as an efficient model to extract a link between words. A study on extracting similar words and visualizing information through Word2Vec model is being conducted. Visualization system helps people to easily perceive information by maximizing understanding of information extracted from big data. This study will analyze visualization system cases of Word2Vec model to find visualization system which is easy for people to understand.