Title :
Constructing knowledge using exploratory text mining
Author :
Otsuka, Naoya ; Matsushita, Mitsunori
Author_Institution :
Grad. Shool of Inf., Kansai Univ., Suita, Japan
Abstract :
Our goal is to support users who want to discover or create knowledge from a large amount of text data. Text mining is a process that extracts novel knowledge from unstructured data. A variety of applications for text mining, such as Total Environment for Text Data Mining, have been proposed. However, to the best of our knowledge, these methods are not effective at conducting text mining tasks aimed at finding novel knowledge. In this paper, we discuss characteristics of the text mining process and propose a design principle for building text mining applications based on two concepts: (1) text mining is an exploratory search task, and (2) text mining is a process for creative knowledge work.
Keywords :
data mining; text analysis; creative knowledge work; design principle; exploratory search task; exploratory text mining; knowledge construction; knowledge discovery; knowledge extraction; unstructured data; Computers; Data analysis; Data visualization; History; Text analysis; Text mining;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
DOI :
10.1109/SCIS-ISIS.2014.7044806