풍력에너지저널 문헌검토에 의한 주제모델링

@article{ART002604605},
author={ 김현구/Kim Hyun-Goo and 유기완/Ryu， Ki-Wahn and 백인수/Paek Insu },
title={풍력에너지저널 문헌검토에 의한 주제모델링},
journal={풍력에너지저널},
issn={2093-5099},
year={2020},
volume={11},
number={2},
pages={30-36},
doi={10.33519/kwea.2020.11.2.004},
url={http://dx.doi.org/10.33519/kwea.2020.11.2.004}

TY - JOUR
AU - 김현구/Kim Hyun-Goo
AU - 유기완/Ryu， Ki-Wahn
AU - 백인수/Paek Insu
TI - 풍력에너지저널 문헌검토에 의한 주제모델링
T2 - 풍력에너지저널
PY - 2020
VL - 11
IS - 2
PB - 한국풍력에너지학회
SP - 30-36
SN - 2093-5099
AB - In celebration of the 10th anniversary of the publication of the Journal of Wind Energy, we intend to grasp research trends through a literature review of the journal’s papers and seek ways to improve the quality of the journal. The text mining technique was used to extract a document-term matrix, and topic modeling was performed using latent semantic analysis and fuzzy K-means clustering. From the comparison of the topic modeling results with manual categorization by experts, it is anticipated that supervised learning is recommended by including the specific topic classification by author in the bibliography metadata for meaningful topic modeling in the future. We confirmed that it is necessary to apply different weights because the descriptive level of title, keyword, and abstract are different when specifying the topic of the research paper. The characteristic theme of the Journal of Wind Energy was identified as “offshore wind,” and research institutes and universities are participating widely, but it is of concern because the participation of industry is declining.
KW - 풍력에너지, 문헌검토, 텍스트마이닝, 주제모델링, 문서-단어행렬, LSA, 잠재의미분석
DO - 10.33519/kwea.2020.11.2.004
UR - http://dx.doi.org/10.33519/kwea.2020.11.2.004
ER -

김현구/Kim Hyun-Goo , 유기완/Ryu， Ki-Wahn and 백인수/Paek Insu (2020). 풍력에너지저널 문헌검토에 의한 주제모델링. 풍력에너지저널, 11( 2), 30- 36.

김현구/Kim Hyun-Goo , 유기완/Ryu， Ki-Wahn and 백인수/Paek Insu . 2020, “풍력에너지저널 문헌검토에 의한 주제모델링”, 풍력에너지저널, vol. 11, no. 2, pp. 30-36. Available from: doi:10.33519/kwea.2020.11.2.004

김현구/Kim Hyun-Goo 유기완/Ryu， Ki-Wahn et al. 백인수/Paek Insu “풍력에너지저널 문헌검토에 의한 주제모델링” 풍력에너지저널 11.2 pp. 30-36 (2020): 30.

김현구/Kim Hyun-Goo , 유기완/Ryu， Ki-Wahn , 백인수/Paek Insu . 풍력에너지저널 문헌검토에 의한 주제모델링 풍력에너지저널 [Internet]. 2020; 11( 2), : 30-36. Available from: doi:10.33519/kwea.2020.11.2.004

김현구/Kim Hyun-Goo , 유기완/Ryu， Ki-Wahn and 백인수/Paek Insu . “풍력에너지저널 문헌검토에 의한 주제모델링” 풍력에너지저널 11, no.2 (2020): 30-36. doi: 10.33519/kwea.2020.11.2.004

홈 권호 목록 논문 목록 논문 상세

풍력에너지저널 문헌검토에 의한 주제모델링
Topic Modeling with a Literature Review of the Journal of Wind Energy

풍력에너지저널

약어 : -

2020, vol.11, no.2, pp.30 - 36

DOI : 10.33519/kwea.2020.11.2.004

발행기관 : 한국풍력에너지학회

연구분야 : 기타공학

김현구/Kim Hyun-Goo¹ , 유기완/Ryu， Ki-Wahn² , 백인수/Paek Insu³

¹한국에너지기술연구원 신재생에너지자원정책센터

²전북대학교

³강원대학교

인용한 논문 수 : - 서지 간략 보기

초록

In celebration of the 10th anniversary of the publication of the Journal of Wind Energy, we intend to grasp research trends through a literature review of the journal’s papers and seek ways to improve the quality of the journal. The text mining technique was used to extract a document-term matrix, and topic modeling was performed using latent semantic analysis and fuzzy K-means clustering. From the comparison of the topic modeling results with manual categorization by experts, it is anticipated that supervised learning is recommended by including the specific topic classification by author in the bibliography metadata for meaningful topic modeling in the future. We confirmed that it is necessary to apply different weights because the descriptive level of title, keyword, and abstract are different when specifying the topic of the research paper. The characteristic theme of the Journal of Wind Energy was identified as “offshore wind,” and research institutes and universities are participating widely, but it is of concern because the participation of industry is declining.