scholarly journals The Analysis on Research Trend of Territorial and Urban Planning for Mack Joong Choi Through Text Mining: Focused on His Academic Papers

2019 ◽  
Vol 103 (null) ◽  
pp. 3-26
Author(s):  
Hyun-Gun Sung ◽  
지규현 ◽  
김승화 ◽  
장경석 ◽  
김준형 ◽  
...  
Keyword(s):  
Urban Planning ◽  
Text Mining ◽  
Research Trend

scholarly journals A Thematic Network-Based Methodology for the Research Trend Identification in Building Energy Management

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4621
Author(s):  
Zhikun Ding ◽  
Rongsheng Liu ◽  
Zongjie Li ◽  
Cheng Fan
Keyword(s):  
Text Mining ◽  
Energy Management ◽  
Latent Dirichlet Allocation ◽  
Thermal Environment ◽  
Building Energy ◽  
Research Trends ◽  
Research Trend ◽  
Automatic Identification ◽  
Building Energy Management ◽  
Depth Analysis

The rapid increase in the number of online resources and academic articles has created great challenges for researchers and practitioners to efficiently grasp the status quo of building energy-related research. Rather than relying on manual inspections, advanced data analytics (such as text mining) can be used to enhance the efficiency and effectiveness in literature reviews. This article proposes a text mining-based approach for the automatic identification of major research trends in the field of building energy management. In total, 5712 articles (from 1972 to 2019) are analyzed. The word2vec model is used to optimize the latent Dirichlet allocation (LDA) results, and social networks are adopted to visualize the inter-topic relationships. The results are presented using the Gephi visualization platform. Based on inter-topic relevance and topic evolutions, in-depth analysis has been conducted to reveal research trends and hot topics in the field of building energy management. The research results indicate that heating, ventilation, and air conditioning (HVAC) is one of the most essential topics. The thermal environment, indoor illumination, and residential building occupant behaviors are important factors affecting building energy consumption. In addition, building energy-saving renovations, green buildings, and intelligent buildings are research hotspots, and potential future directions. The method developed in this article serves as an effective alternative for researchers and practitioners to extract useful insights from massive text data. It provides a prototype for the automatic identification of research trends based on text mining techniques.

The Trend Change of Bitumen Research: A Text Mining Analysis (2000-2010)

2011 ◽  
Vol 84-85 ◽  
pp. 681-685
Author(s):  
Shiang Hau Wu ◽  
Jiann Jong Guo
Keyword(s):  
Text Mining ◽  
Literature Survey ◽  
Research Trend ◽  
Mining Method

In recent years, much research has been devoted to the Bitumen research; however, few have deployed the study of the research trend. In fact, grasping the research trend is imperative for enterprises and researchers. The study aims at analyzing the trend change of Bitumen research from 2000 to 2010. The contribution of the study includes the following two points. First, the study has found the shift of the Bitumen research from “distribution” and “sand” related issues to the focuses of “surface” and “polymer”. Second, the study finds a new way of literature survey by using the text mining method in order to explore the trend change.

A Text Mining Analysis of the Biomimetics Research Trend (2000-2010)

2011 ◽  
Vol 219-220 ◽  
pp. 479-482
Author(s):  
Shiang Hau Wu ◽  
Jiann Jong Guo
Keyword(s):  
Text Mining ◽  
Literature Survey ◽  
Research Trend ◽  
Mining Method

In recent years, much research has been devoted to the biomimetics research; however, few have deployed the study of the research trend. In fact, grasping the research trend is imperative for enterprises and researchers. The study aims at analyzing the trend change of biomimetics research from 2001 to 2010. The contribution of the study includes the following two points. First, the study has found the shift of the biomimetics research from shifts from “scaffold” and “engine” related issues to the focuses of “surface” and “structure”. Second, the study finds a new way of literature survey by using the text mining method in order to explore the trend change.

scholarly journals Bibliometric Analysis and Research Trend Forecast of Healthy Urban Planning for 40 Years (1981–2020)

2021 ◽  
Vol 18 (18) ◽  
pp. 9444
Author(s):  
Bingyao Jia ◽  
Yuting Chen ◽  
Jing Wu
Keyword(s):  
Urban Planning ◽  
Green Space ◽  
City Planning ◽  
Development Trend ◽  
Environmental Research ◽  
Practical Significance ◽  
Research Trend ◽  
Future Research ◽  
Healthy City ◽  
Number Of Citations

The history of healthy city planning can be traced back to the beginning of the 19th century. Since the industrialization period, the harsh living conditions of cities and the outbreak of infectious diseases have promoted the coordinated development of urban planning and public health, and people have gradually realized the importance of urban design and planning to the health of residents. After searching keywords related to health city and urban planning, and excluding repeated, non-English, and unrelated papers, this work retrieved 2582 documents as the basic data (timespan is 1 January 1981–31 December 2020, retrieval time is 28 January 2021). Additionally, CiteSpace was used to analyze document co-citation, cooperation network, and topic co-occurrence. Subsequently, random forest algorithm was used to predict the probability of citation. Overall, this work found that the hot spots of healthy urban planning are physical activity, green space, urban green space, and mental health. It also shows the diversification of themes and the development trend of cross-fields in the field of healthy urban planning. In addition, the article found that two factors, namely, the average number of citations of the first author and whether the article belongs to the field of environmental research, have a great impact on the number of citations of the article. This work is of practical significance to relevant practitioners and researchers, because it provides guidance for hot topics and future research directions in the field of healthy urban planning.

scholarly journals Drug Abuse Research Trend Investigation with Text Mining

2020 ◽  
Vol 2020 ◽  
pp. 1-8 ◽  
Author(s):  
Li-Wei Chou ◽  
Kang-Ming Chang ◽  
Ira Puspitasari
Keyword(s):  
Quality Of Life ◽  
Drug Abuse ◽  
Text Mining ◽  
Study Drug ◽  
Severity Index ◽  
Addiction Severity Index ◽  
Research Trend ◽  
Core Knowledge ◽  
Addiction Severity

Drug abuse poses great physical and psychological harm to humans, thereby attracting scholarly attention. It often requires experience and time for a researcher, just entering this field, to find an appropriate method to study drug abuse issue. It is crucial for researchers to rapidly understand the existing research on a particular topic and be able to propose an effective new research method. Text mining analysis has been widely applied in recent years, and this study integrated the text mining method into a review of drug abuse research. Through searches for keywords related to the drug abuse, all related publications were identified and downloaded from PubMed. After removing the duplicate and incomplete literature, the retained data were imported for analysis through text mining. A total of 19,843 papers were analyzed, and the text mining technique was used to search for keyword and questionnaire types. The results showed the associations between these questionnaires, with the top five being the Addiction Severity Index (16.44%), the Quality of Life survey (5.01%), the Beck Depression Inventory (3.24%), the Addiction Research Center Inventory (2.81%), and the Profile of Mood States (1.10%). Specifically, the Addiction Severity Index was most commonly used in combination with Quality of Life scales. In conclusion, association analysis is useful to extract core knowledge. Researchers can learn and visualize the latest research trend.

A Text Mining Analysis of the Fly Ash Research Trend (2000-2010)

2011 ◽  
Vol 224 ◽  
pp. 8-11
Author(s):  
Shiang Hau Wu ◽  
Jiann Jong Guo
Keyword(s):  
Fly Ash ◽  
Text Mining ◽  
Literature Survey ◽  
Research Trend ◽  
Mining Method

In recent years, much research has been devoted to the fly ash research; however, few have deployed the study of the research trend. In fact, grasping the research trend is imperative for enterprises and researchers. The study aims at exploring the trend change of fly ash research from 2000 to 2010. The contribution of the study includes the following two points. First, the study has found the shift of the fly ash research from shifts from “concrete” and “pulse” related issues to the focuses of “absorption” and “metal”. Second, the study finds a new way of literature survey by using the text mining method in order to explore the trend change.

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