scholarly journals Doctoral dissertations in Chinese Interpreting Studies: A scientometric survey using topic modeling

2015 ◽  
Author(s):  
Ziyun Xu
Keyword(s):  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Cognitive Resources ◽  
The Past ◽  
Career Trajectories ◽  
Probabilistic Topic Modeling ◽  
The Subject ◽  
Number Of Publications ◽  
Doctoral Dissertations ◽  
In Cis

Despite being a relatively new discipline, Chinese Interpreting Studies (CIS) has witnessed tremendous growth in the number of publications and diversity of topics investigated over the past two decades. The number of doctoral dissertations produced has also increased rapidly since the late 1990s. As CIS continues to mature, it is important to evaluate its dominant topics, trends and institutions, as well as the career development of PhD graduates in the subject. In addition to traditional scientometric techniques, this study’s empirical objectivity is heightened by its use of Probabilistic Topic Modeling (PTM), which uses Latent Dirichlet Allocation (LDA) to analyze the topics covered in a near-exhaustive corpus of CIS dissertations. The analysis reveals that the topics of allocation of cognitive resources, deverbalization, and modeling the interpreting process attracted most attention from doctoral researchers. Additional analyses were used to track the research productivity of institutions and the career trajectories of PhD holders: one school was found to stand out, accounting for more than half of the total dissertations produced, and a PhD in CIS was found to be a highly useful asset for new professional interpreters.

scholarly journals Doctoral dissertations in Chinese Interpreting Studies: A scientometric survey using topic modeling

2015 ◽  
Author(s):  
Ziyun Xu
Keyword(s):  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Cognitive Resources ◽  
The Past ◽  
Career Trajectories ◽  
Probabilistic Topic Modeling ◽  
The Subject ◽  
Number Of Publications ◽  
Doctoral Dissertations ◽  
In Cis

Despite being a relatively new discipline, Chinese Interpreting Studies (CIS) has witnessed tremendous growth in the number of publications and diversity of topics investigated over the past two decades. The number of doctoral dissertations produced has also increased rapidly since the late 1990s. As CIS continues to mature, it is important to evaluate its dominant topics, trends and institutions, as well as the career development of PhD graduates in the subject. In addition to traditional scientometric techniques, this study’s empirical objectivity is heightened by its use of Probabilistic Topic Modeling (PTM), which uses Latent Dirichlet Allocation (LDA) to analyze the topics covered in a near-exhaustive corpus of CIS dissertations. The analysis reveals that the topics of allocation of cognitive resources, deverbalization, and modeling the interpreting process attracted most attention from doctoral researchers. Additional analyses were used to track the research productivity of institutions and the career trajectories of PhD holders: one school was found to stand out, accounting for more than half of the total dissertations produced, and a PhD in CIS was found to be a highly useful asset for new professional interpreters.

Idealists and Realists: British Views of Germany,1864–1939

1975 ◽  
Vol 25 ◽  
pp. 137-156 ◽  
Author(s):  
P. M. Kennedy
Keyword(s):  
Narrative Form ◽  
Past Century ◽  
General Survey ◽  
Small Segment ◽  
The Past ◽  
British Policy ◽  
History Of ◽  
The Subject ◽  
Number Of Publications ◽  
Sheer Number

Yet another survey of the much-traversed field of Anglo-German relations will seem to many historians of modern Europe to border on the realm of superfluity; probably no two countries have had their relationship to each other so frequently examined in the past century as Britain and Germany. Moreover, even if one restricted such a study to the British side alone, the sheer number of publications upon this topic, or upon only a section of it like the age of ‘appeasement’, is simply too great to allow a compression of existing knowledge into a narrative form that would be anything other than crude and sketchy. The following contribution therefore seeks neither to provide such a general survey, nor, by use of new and detailed archival materials, to concentrate upon a small segment of the history of British policy towards Germany in the period 1864–1939; but instead to consider throughout all these years a particular aspect, namely, the respective arguments of Germanophiles and Germanophobes in Britain and the connection between this dialogue and the more general ideological standpoints of both sides. In so doing, the author has produced a survey which remains embarrassingly summary in detail but does at least attempt to offer a fresh approach to the subject.

scholarly journals Analysis of the Trends in Biochemical Research Using Latent Dirichlet Allocation (LDA)

Processes ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. 379 ◽  
Author(s):  
Kang ◽  
Kim ◽  
Kang
Keyword(s):  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Research Topics ◽  
Helpful Tool ◽  
Journal Editors ◽  
The Past ◽  
Mining Technique ◽  
Modeling Analysis ◽  
Funding Agencies ◽  
Biochemical Research

Biochemistry has been broadly defined as “chemistry of molecules included or related to living systems”, but is becoming increasingly hard to be distinguished from other related fields. Targets of its studies evolve rapidly; some newly emerge, disappear, combine, or resurface themselves with a fresh viewpoint. Methodologies for biochemistry have been extremely diversified, thanks particularly to those adopted from molecular biology, synthetic chemistry, and biophysics. Therefore, this paper adopts topic modeling, a text mining technique, to identify the research topics in the field of biochemistry over the past twenty years and quantitatively analyze the changes in its trends. The results of the topic modeling analysis obtained through this study will provide a helpful tool for researchers, journal editors, publishers, and funding agencies to understand the connections among the diverse sub-fields in biochemical research and even see how the research topics branch out and integrate with other fields.

International Publication Trends in Proteasome Inhibitors: From Tools for Cell Biologists to Anticancer Agents

2019 ◽  
Vol 16 (9) ◽  
pp. 1031-1039
Author(s):  
Peng Zhou ◽  
Minhui Zhu ◽  
Caiyun Zhang ◽  
Donghui Chen ◽  
Hongliang Zheng
Keyword(s):  
Anticancer Agents ◽  
Proteasome Inhibitors ◽  
Publication Trends ◽  
H Index ◽  
The Past ◽  
Dana Farber Cancer Institute ◽  
The Usa ◽  
The Subject ◽  
Number Of Publications ◽  
Scientific Fields

Background: There has been increased interest in the research of proteasome inhibitors for more than two decades. Hotspots in this field are constantly changing. Objective: This study aimed to investigate trends in proteasome inhibitors research from 1992 to 2018 and compare the contributions of such research from different countries and authors. Methods: We used Excel 2013 and VoSviewer to analyze bibliometric data on the subject of proteasome inhibitors, including the number of publications, citations frequency, H-index, and country contributions and hotspots (keywords of popular scientific fields). Results: A total of 3646 articles were included. The USA contributed the largest percentage of articles (1742), with the most citations (90666) and the highest H-index (139). The journal Blood had the most articles. Dana Farber Cancer Institute and Millennium Pharmaceuticals Incorporation were the most contributive institutions. Keywords could be divided into three clusters: Basic experiment, clinical research, and others. Conclusion: The number of proteasome inhibitors articles has been increasing for the past 27 years. The USA made the largest contribution in this field. Recent studies on the topic of “carfilzomib” are relatively new and should be closely followed in proteasome inhibitors research.

scholarly journals Tehtanje strahu pred kriminaliteto

2020 ◽  
Author(s):  
Vanja Erčulj ◽  
Keyword(s):  
Social Problem ◽  
Fear Of Crime ◽  
Research Topic ◽  
Measurement Process ◽  
The Past ◽  
Scientific Disciplines ◽  
The Subject ◽  
Number Of Publications

Fear of crime has been a frequent research topic for the past 50 years. The number of publications on the subject of fear of crime has been growing exponentially over the years. As a social problem, it has many consequences for different society areas, so it is studied by researchers in various scientific disciplines, from criminology to geography. Research on fear of crime has been the subject of numerous allegations regarding the inadequate theoretical definition and insufficient measurement of the phenomenon. The paper summarizes some of the criticisms and improvements in the measurement process that have led to valid and reliable conclusions of the crime fear investigation.

scholarly journals STABILITY OF TOPIC MODELING VIA MODALITY REGULARIZATION

2020 ◽  
Author(s):  
R. Derbanosov ◽  
◽  
M. Bakhanova ◽  
◽  
Keyword(s):  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Semantic Analysis ◽  
Topic Model ◽  
Side Information ◽  
Auxiliary Information ◽  
Discrete Distributions ◽  
Probabilistic Latent Semantic Analysis ◽  
Probabilistic Topic Modeling ◽  
Random Initialization

Probabilistic topic modeling is a tool for statistical text analysis that can give us information about the inner structure of a large corpus of documents. The most popular models—Probabilistic Latent Semantic Analysis and Latent Dirichlet Allocation—produce topics in a form of discrete distributions over the set of all words of the corpus. They build topics using an iterative algorithm that starts from some random initialization and optimizes a loss function. One of the main problems of topic modeling is sensitivity to random initialization that means producing significantly different solutions from different initial points. Several studies showed that side information about documents may improve the overall quality of a topic model. In this paper, we consider the use of additional information in the context of the stability problem. We represent auxiliary information as an additional modality and use BigARTM library in order to perform experiments on several text collections. We show that using side information as an additional modality improves topics stability without significant quality loss of the model.

scholarly journals Bibliometric research productivity analysis: A case study of Shifa Tameer-e-Millat University

2020 ◽  
Vol 3 (1) ◽  
pp. 49-55
Author(s):  
Amir Latif ◽  
Ikram Ul Haq
Keyword(s):  
Research Productivity ◽  
Research Collaboration ◽  
Subject Area ◽  
Productivity Analysis ◽  
Authorship Pattern ◽  
Document Type ◽  
The Past ◽  
The Subject ◽  
Number Of Publications

Objectives: This study is aimed to conduct a bibliometric analysis of research productivity of Shifa Tameer-e-Millat University (STMU). Methodology: Data was collected from online resources from 2012 to 2018. The outcome parameters were the number of publications in each year, document type, scrutiny of the subject area, authorship pattern, research collaboration, frequently used journal and the range of references.  Results: STMU produced 231 documents with frequent references between of 20 to 29. Two-thirds of total publications consisted of original articles and Pharmacology was found to be the preferred area of research.  Conclusion: Research publication is the key element to measure academic performance. There has been a growing tendency in publications over the past three years.   

scholarly journals Iranian COVID-19 Publications in LitCovid: Text Mining and Topic Modeling

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Meisam Dastani ◽  
Farshid Danesh
Keyword(s):  
Case Report ◽  
Text Mining ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Subject Area ◽  
Scientific Publications ◽  
Statistical Population ◽  
Strategic Issues ◽  
Number Of Publications ◽  
And Control

COVID-19 is a threat to the lives of people all over the world. As a result of the new and unknown nature of COVID-19, much research has been conducted recently. In order to increase and enhance the growth rate of Iranian publications on COVID-19, this article aims to analyze these publications in LitCovid to identify the topical and content structure and topic modeling of scientific publications in the mentioned subject area. The present article is applied research performed by using an analytical approach as well as text mining techniques. The statistical population is all the publications of Iranian researchers in LitCovid. Latent Dirichlet Allocation (LDA) and Python were used to analyze the data and implement text mining and topic modeling algorithms. Data analysis shows that the percentage of Iranian publications in the eight topical groups in LitCovid is as follows: prevention (39.57%), treatment (18.99%), diagnosis (18.99%), forecasting (7.83%), case report (6.52%), mechanism (3.91%), transmission (3.62%), and general (0.58%). The results indicate that patient, pandemic, outbreak, case, Iranian, model, care, health, coronavirus, and disease are the most important words in the publications of Iranian researchers in LitCovid. Six topics for prevention; four topics for treatment and case report and forecasting; three topics for diagnosis, mechanism, and transmission in general have been obtained by implementing the topic modeling algorithm. Most of the Iranian publications in LitCovid are related to the topic “pandemic status,” with 22.47% in the prevention category, and the lowest number of publications is related to the topic “environment,” with 11.11% in the transmission category. The present study indicates a better understanding of essential and strategic issues of Iranian publications in LitCovid. The results reveal that many Iranian studies on COVID-19 were primarily on the issues related to prevention, management, and control. These findings provided a structured and research-based viewpoint of COVID-19 in Iran to guide researchers and policymakers.

scholarly journals Identifying Research Topics and Trends in Asset Management for Sustainable Use: A Topic Modeling Approach

2021 ◽  
Vol 13 (9) ◽  
pp. 4792
Author(s):  
Hosang Jung ◽  
Boram Kim
Keyword(s):  
Life Cycle ◽  
Asset Management ◽  
Topic Modeling ◽  
Life Cycle Cost ◽  
Latent Dirichlet Allocation ◽  
Sustainable Use ◽  
Future Research ◽  
Research Topics ◽  
The Past ◽  
Modeling Approach

Asset management is not new, and research has been conducted in private and public sectors on how to systematically maintain infrastructure or facilities for sustainable use and achieve the level of service desired by users or customers at the lowest life cycle costs. This research identifies the research topics and trends in asset management over the past 30 years. To this end, latent Dirichlet allocation, a topic modeling approach, was applied to articles published in engineering journals and investigated the following three research questions: (1) what have the key topics been for the past three decades? (2) what are the main activities and target sectors of asset management? (3) how have the research topics and keywords changed over the past three decades? The analysis shows that the target field of asset management has broadened while the main activities of asset management have been limited to several popular activities such as life cycle cost analysis and reliability analysis. Some implications and future research directions are also discussed.

scholarly journals The modes of vibration of quartz piezo-electric plates as revealed by an interferometer

1932 ◽  
Vol 138 (834) ◽  
pp. 1-16 ◽  
Keyword(s):  
The Past ◽  
Quartz Oscillator ◽  
Satisfactory Performance ◽  
Modes Of Vibration ◽  
The Subject ◽  
Radio Frequencies ◽  
Number Of Publications ◽  
Piezo Electric

During the past five years considerable development has taken place in the piezo-electric quartz oscillator and resonator, chiefly in connection with their application to the production and measurement of radio-frequencies of great constancy or precision. A considerable literature has grown up dealing with the circuit arrangements and other practical details of construction found desirable or necessary by various workers in order to secure a satisfactory performance in the assemblage constituting a complete resonator or oscillator. This information is scattered throughout a considerable number of publications and for the most part must be considered as being of a disjointed nature. Bibliographies of the subject have, however, been drawn up by Cady, and more recently a critical resumé of the important literature has been collected in a monograph published by H. M. Stationery Office.

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