Abstract
This second part of a two-part review addressed three complementary components of text mining: Citation scientometrics, seminal literature reviews (SLR), and literature-related discovery and innovation (LRDI). All three have at their core the development of very comprehensive and precise queries for retrieving the data of interest. For any literature of interest, the citation scientometrics approach analyzes in detail the papers that cite the literature of interest (citation mining), and/or the papers that are cited by the literature of interest. The SLR uses the highly-cited references in a retrieved literature of interest to map out the intellectual heritage of that literature. The LRDI integrates (a) discovery generation from disparate literatures with (b) the wealth of knowledge contained in the prior art to (c) potentially solve technical problems that appear intractable. The review highlights each of the approaches drawing from studies undertaken by author and his research group.
Highlights
This second part of a two‐part review addressed three complementary components of text mining: Citation scientometrics, seminal literature reviews (SLR), and literature‐related discovery and innovation (LRDI)
This is the second part of a two‐part review that addresses three major text mining sub‐divisions: Characterization; seminal literature review (SLR); literature‐related discovery and innovation (LRDI)
The bibliometrics analyses are performed on the total number of citing papers, whereas the text mining/ computational linguistics analyses are performed on those papers with abstracts
Summary
This second part of a two‐part review addressed three complementary components of text mining: Citation scientometrics, seminal literature reviews (SLR), and literature‐related discovery and innovation (LRDI). The review highlights each of the approaches drawing from studies undertaken by author and his research group This is the second part of a two‐part review that addresses three major text mining sub‐divisions: Characterization; seminal literature review (SLR); literature‐related discovery and innovation (LRDI). Part I, published in the inaugural issue of The Journal of Scientometric Research (Kostoff 2012a),[1] focuses on characterization, mainly its non‐citation components. SLR presents the intellectual heritage of technical literature, mainly by identifying the most highly cited documents in that literature, and LRDI generates discovery and innovation by linking disparate literatures to produce value‐added concepts.
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