Practical Uses of the Three Types of Text Mining as Considered from the Perspective of Data Mining(<Special Issue>Linguistic Approach to "Information and Management" Research)

Abstract

This paper explains text mining and it's practical uses according to three types and stages of data mining: 1) VISUALIZATION, 2) ANALYSIS, 3) PREDICTIVE ANALYTICS (MODELING). VISUALIZATION is visualization of the characteristics of the data, and these include: web analysis, co-occurrence tables, and (reference) frequency analysis. ANALYSIS uses statistical techniques for the results of text mining. PREDICTIVE ANALYTICS uses a variety of techniques from machine learning to make predictions about the future. There exists author discrimination by decision tree and neural network, and Text classification by modeling method. Moreover, I want to bridge the gap between researchers specializing in text mining and researchers specializing in data mining.