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Methodologies and Technologies to Retrieve Information From Text Sources
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Author(s): Anu Singha (South Asian University, India)and Phub Namgay (Sherubtse College, Royal University of Bhutan, Bhutan)
Copyright: 2018
Pages: 25
Source title:
Modern Technologies for Big Data Classification and Clustering
Source Author(s)/Editor(s): Hari Seetha (Vellore Institute of Technology-Andhra Pradesh, India), M. Narasimha Murty (Indian Institute of Science, India)and B. K. Tripathy (VIT University, India)
DOI: 10.4018/978-1-5225-2805-0.ch004
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Abstract
A tool which algorithmically traces the effectiveness of the text files would be helpful in determining whether the text file have all the characteristic of important concepts. Every text source is build up on key phrases, and these paramount phrases follow a certain grammatical linguistic pattern widely used. An enormous amount of information can be derived from these key concepts for the further analysis such as their dispersion, relationship among the concepts etc. The relationship among the key concepts can be used to draw a concept graphs. So, this chapter presents a detailed methodologies and technologies which evaluate the effectiveness of the extracted information from text files.
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