TEXT MINING-2020


Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning.

Scientific Literature Information Extraction Using Text Mining Techniques for Human Health Risk Assessment of Electromagnetic Fields
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This paper presents a scientific literature information extraction architecture using text mining techniques to assess the human health risk of electromagnetic fields (EMFs) generated by wireless sensor devices in Internet of Things (IoT). The proposed architecture

Online Appendix for Interest Rate Model with Investor Attitude and Text Mining
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CARF is presently supported by Dai-ichi Mutual Life Insurance Company, Nomura Holdings, Inc., Sumitomo Mitsui Banking Corporation, MUFG Bank, Finatext Ltd., The Norinchukin Bank and The University of Tokyo Edge Capital Co., Ltd. This financial support enables us to issue

SGF (Semantic Graphs Fusion): A Knowledge-based Representation of Textual Resources for Text Mining Applications
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The proper representation of textual documents has been the greatest challenge in text mining applications. In this paper, a knowledge-based representation model for text analysis applications is introduced. The proposed functionalities of the system are achieved by

The Applications of Importance-Performance Analysis in Higher Education Institutions: A Text Mining of Literature
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The application of the Importance-Performance Analysis (IPA) has received increasing attention in the educational sector. However, little effort has been made in reviewing its forms, particularly in the context of Higher Education Institutions (HEIs). Thus, this paper

Data-Theoretic Approach for Socio-Technical Risk Analysis: Text Mining Licensee Event Reports of US Nuclear Power Plants
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This paper is a product of a line of research that uses the Socio-Technical Risk Analysis (SoTeRiA) theoretical framework and Integrated PRA (I-PRA) methodological framework to theorize and quantify underlying organizational mechanisms contributing to socio-technical