A Framework for Text Mining in Scientometric Study: A Case Study in Biomedicine Publications

Silalahi, Veraci; Hardiyati, Ria; Nadhiroh, Irene Muflikh; Handayani, Tri; Rahmaida, Rizka; Amelia, Mia

doi:10.1088/1742-6596/1007/1/012030

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…Several such methods are used in Scientometric studies in recent times (See Kostoff; [10] Ravikumar, Agrahari, and Singh; [11] Silalahi et al). [12] One of these approaches is the use of Google N-gram (books.google.com/ngrams), hereon referred as N-gram, which have founded the field of Culturomics [13] and gaining attention of Scientometric scholars (see Omar et al [14] Chan et al [15] Kim et al [16] Phani et al). [17] N-gram is very similar to the burst detection algorithm [18] which can detect "sharp increases of interest in a specialty" [19] using the burst, identified within a time series data based on key words.…”

Section: Methodsmentioning

confidence: 99%

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The Many Facets of Frugality: Insights from a Quasi-comprehensive Literature Survey

Jain¹,

Bhaduri²

2021

JSCIRES

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Frugal innovation has become a popular research agenda in the field of Innovation studies. Frugality, however, has been part of the intellectual tradition for centuries and scholarly giants such as Cicero, Adam Smith, Benjamin Franklin, David Hume have deliberated upon its meanings, nuances and applications. The present study using quantitative text mining approaches supplemented by qualitative methods aims at a detailed exposition of these deliberations to Gauge the complexity of the term, and its implications for the modern-day production and innovation processes. We used the Google' N-gram tool for qualitative text analysis. Subsequently, using the time series graph of N-gram we spot the relevant periods of the key narratives, and related documents, for a deeper scrutiny. This literature survey helps us recalibrate the concept of frugality, within innovation and technology discourse, to provide a philosophical underpinning, going beyond a strict criteria-oriented approach to define the concept of frugality. The study facilitates reimagining the process of innovation. Drifting away from the present (excessive) emphases on growth, mechanization and protocolization, a recalibrated concept of frugality nudges us to formulate a more human centered process of technological innovation.

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Section: Methodsmentioning

confidence: 99%

“…[1] ). One can see an abrupt peak in the usage of thrift 12 around the year 1918 in Figure 5. These were the years when Thrift movement was at its peak.…”

Section: Lord Baconmentioning

confidence: 99%

The Many Facets of Frugality: Insights from a Quasi-comprehensive Literature Survey

Jain¹,

Bhaduri²

2021

JSCIRES

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“…The classification model for the downstreaming was built within a five step processes; starting from conceptual modelling, data searching and selection, data cleaning and pre-processing, models building and selection, and finally evaluation and results interpretation (Silalahi et al, 2018a).…”

Section: Methodsmentioning

confidence: 99%

A Contextual Scientometric Analysis of Indonesian Biomedicine : Mapping The Potential of Basic Research Downstreaming

Hardiyati¹,

Nadhiroh²,

Handayani³

et al. 2018

STIPM Journal

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<p>A content analysis on Indonesian biomedical research publication is conducted based on text mining. The research is necessary to obtain a rich contextual overview of the development of biomedicine research in Indonesia for example in the context of the downstreaming potential of research publications. The results of text data processing using a computational model and bibliometric analysis will provide a richer contextual picture as a proxy to reveal the potential for downstreaming of basic research. Quantitative research is conducted using data sources from Scopus, Google Scholar and universities’s and scientific journal’s repository to analyse the performance at the meso and macro level. Interpretation of the results is qualitatively carried out within a FGD session with domain experts. An attempt is carried out to see the trajectory of series of research publications from basic research stage down to clinical trials. This effort results in an ability to show the research trajectory in anti-malaria drug development from the basic research which evolves to the clinical trial. This study reveals many discontinuities in the trajectory a research topic from basic research to downstreaming in drugs development in Indonesia.</p>

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“…Morris et al [76] presented software that performs bibliometric analysis whose results were presented by clusters in a two-dimensional visualization to explore the relationships between these clusters and the elements that compose them to support forecasting activities. Silalahi et al [77] proposed a framework that allows text mining operations for scientometric studies using different classifiers such as Naive Bayes, k-NN, and SVM. Leydesdorff et al [78] discussed how the innovation process followed nonlinear patterns in diverse science and technology.…”

Section: Data Mining and Machine Learningmentioning

confidence: 99%

A Systematic Review of Recommendations of Long-Term Strategies for Researchers Using Data Science Techniques

2021

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The impact of the strategies that researchers follow to publish or produce scientific content can have a long-term impact. Identifying which strategies are most influential in the future has been attracting increasing attention in the literature. In this study, we present a systematic review of recommendations of long-term strategies in research analytics and their implementation methodologies. The objective is to present an overview from 2002 to 2018 on the development of this topic, including trends, and addressed contexts. The central objective is to identify data-oriented approaches to learn long-term research strategies, especially in process mining. We followed a protocol for systematic reviews for the engineering area in a structured and respectful manner. The results show the need for studies that generate more specific recommendations based on data mining. This outcome leaves open research opportunities from two particular perspectives—applying methodologies involving process mining for the context of research analytics and the feasibility study on long-term strategies using data science techniques.

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A Framework for Text Mining in Scientometric Study: A Case Study in Biomedicine Publications

Cited by 3 publications

References 7 publications

The Many Facets of Frugality: Insights from a Quasi-comprehensive Literature Survey

The Many Facets of Frugality: Insights from a Quasi-comprehensive Literature Survey

A Contextual Scientometric Analysis of Indonesian Biomedicine : Mapping The Potential of Basic Research Downstreaming

A Systematic Review of Recommendations of Long-Term Strategies for Researchers Using Data Science Techniques

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