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Semantic Recognition of Technological Innovation Theme Based on LDA
Received date: 2015-04-27
Revised date: 2015-06-20
Online published: 2015-07-20
[Purpose/significance] Traditional probabilistic model of technology innovation theme identification method ignores the semantic understanding of the text. In order to identify the theme more accurately, the semantic recognition of technological innovation theme is imperative.[Method/process] This article proposes a semantic recognition method of science and technology innovation theme based LDA, uses the semantic role labeling technique to semantic index the technological innovation content of scientific literature, builds the LDA topic semantic recognition model, and identifies the science and technology innovation theme according to the probability of the hypernyms which correspond with semantic roles of keywords from technological innovation content.[Result/conclusion] The 3D printing field data experimental results show that, this method can identify the innovation theme more accurately, and form a mixed distribution cluster of scientific and technological innovation theme-scientific and technological innovation MeSH-scientific literature. It can reduce the interference of the background and other irrelevant data and avoid of the same semantic meaning's double counting problem of scientific and technological innovation MeSH.
Zhu Na , Wang Xiaoyue , Yang Jing , Bai Rujiang . Semantic Recognition of Technological Innovation Theme Based on LDA[J]. Library and Information Service, 2015 , 59(14) : 126 -134 . DOI: 10.13266/j.issn.0252-3116.2015.14.018
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