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Unveiling Evolutionary Path of Nanogenerator Technology: A Novel Method Based on Sentence-BERT
In recent years, nanogenerator technology has developed rapidly with the rise of cloud computing, artificial intelligence, and other fields. Therefore, the quick identification of the evolutionary path of nanogenerator technology from a large amount of data attracts much attention. It is of great si...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229696/ https://www.ncbi.nlm.nih.gov/pubmed/35745356 http://dx.doi.org/10.3390/nano12122018 |
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author | Liu, Huailan Zhang, Rui Liu, Yufei He, Cunxiang |
author_facet | Liu, Huailan Zhang, Rui Liu, Yufei He, Cunxiang |
author_sort | Liu, Huailan |
collection | PubMed |
description | In recent years, nanogenerator technology has developed rapidly with the rise of cloud computing, artificial intelligence, and other fields. Therefore, the quick identification of the evolutionary path of nanogenerator technology from a large amount of data attracts much attention. It is of great significance in grasping technical trends and analyzing technical areas of interest. However, there are some limitations in previous studies. On the one hand, previous research on technological evolution has generally utilized bibliometrics, patent analysis, and citations between patents and papers, ignoring the rich semantic information contained therein; on the other hand, its evolution analysis perspective is single, and it is difficult to obtain accurate results. Therefore, this paper proposes a new framework based on the methods of Sentence-BERT and phrase mining, using multi-source data, such as papers and patents, to unveil the evolutionary path of nanogenerator technology. Firstly, using text vectorization, clustering algorithms, and the phrase mining method, current technical themes of significant interest to researchers can be obtained. Next, this paper correlates the multi-source fusion themes through semantic similarity calculation and demonstrates the multi-dimensional technology evolutionary path by using the “theme river map”. Finally, this paper presents an evolution analysis from the perspective of frontier research and technology research, so as to discover the development focus of nanogenerators and predict the future application prospects of nanogenerator technology. |
format | Online Article Text |
id | pubmed-9229696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92296962022-06-25 Unveiling Evolutionary Path of Nanogenerator Technology: A Novel Method Based on Sentence-BERT Liu, Huailan Zhang, Rui Liu, Yufei He, Cunxiang Nanomaterials (Basel) Article In recent years, nanogenerator technology has developed rapidly with the rise of cloud computing, artificial intelligence, and other fields. Therefore, the quick identification of the evolutionary path of nanogenerator technology from a large amount of data attracts much attention. It is of great significance in grasping technical trends and analyzing technical areas of interest. However, there are some limitations in previous studies. On the one hand, previous research on technological evolution has generally utilized bibliometrics, patent analysis, and citations between patents and papers, ignoring the rich semantic information contained therein; on the other hand, its evolution analysis perspective is single, and it is difficult to obtain accurate results. Therefore, this paper proposes a new framework based on the methods of Sentence-BERT and phrase mining, using multi-source data, such as papers and patents, to unveil the evolutionary path of nanogenerator technology. Firstly, using text vectorization, clustering algorithms, and the phrase mining method, current technical themes of significant interest to researchers can be obtained. Next, this paper correlates the multi-source fusion themes through semantic similarity calculation and demonstrates the multi-dimensional technology evolutionary path by using the “theme river map”. Finally, this paper presents an evolution analysis from the perspective of frontier research and technology research, so as to discover the development focus of nanogenerators and predict the future application prospects of nanogenerator technology. MDPI 2022-06-11 /pmc/articles/PMC9229696/ /pubmed/35745356 http://dx.doi.org/10.3390/nano12122018 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Liu, Huailan Zhang, Rui Liu, Yufei He, Cunxiang Unveiling Evolutionary Path of Nanogenerator Technology: A Novel Method Based on Sentence-BERT |
title | Unveiling Evolutionary Path of Nanogenerator Technology: A Novel Method Based on Sentence-BERT |
title_full | Unveiling Evolutionary Path of Nanogenerator Technology: A Novel Method Based on Sentence-BERT |
title_fullStr | Unveiling Evolutionary Path of Nanogenerator Technology: A Novel Method Based on Sentence-BERT |
title_full_unstemmed | Unveiling Evolutionary Path of Nanogenerator Technology: A Novel Method Based on Sentence-BERT |
title_short | Unveiling Evolutionary Path of Nanogenerator Technology: A Novel Method Based on Sentence-BERT |
title_sort | unveiling evolutionary path of nanogenerator technology: a novel method based on sentence-bert |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9229696/ https://www.ncbi.nlm.nih.gov/pubmed/35745356 http://dx.doi.org/10.3390/nano12122018 |
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