Klasterisasi Dokumen Menggunakan Weighted K-Means Berdasarkan Relevansi Topik

Cited by 3 publications

(3 citation statements)

References 14 publications

(16 reference statements)

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“…The upgraded K-means method, on the other hand, only addresses the optimization of cluster centers and ignores the various contributions of features. References [25,26] presented weighted K-means algorithms with different techniques to improve the clustering impact of the model for the second question. The WK-means method is…”

Section: Wk-means Modelmentioning

confidence: 99%

Analysis of Key Factors Affecting Undergraduate Entrepreneurship Ability from a Big Data Perspective

Meng

Huang

2022

Wireless Communications and Mobile Computing

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To achieve rapid social and economic growth, society has raised expectations for the overall quality and competence of today’s college students in the environment of big data. College students must have a strong spirit of creation and entrepreneurship, as well as a precise level of professional knowledge and practical talents. Based on this backdrop, a weighted K-means clustering method (WK-means) is utilized to investigate the key determinants of college students’ entrepreneurial ability and their interactions with important text content, such as the college student innovation and entrepreneurship competition. To begin, extract a number of characteristics from the sample of entrepreneurial college students, particularly the entrepreneurial ability components. The sample is then divided into two groups. Entrepreneurs who succeed are categorized as positive, while those who fail are classified as negative. The clustering result yields the feature weight of each sample. The weight of each attribute is proportionate to its importance. Second, using the multivariate relationship analysis approach, the correlation between various factors is determined, and the impact of various factors on college students’ entrepreneurial capacity is further investigated. The results of the experiment demonstrate that adaptability and learning ability are the most important characteristics influencing college students’ entrepreneurial aptitude, whereas self-control has little impact.

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Section: Wk-means Modelmentioning

confidence: 99%

Analysis of Key Factors Affecting Undergraduate Entrepreneurship Ability from a Big Data Perspective

Meng

Huang

2022

Wireless Communications and Mobile Computing

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“…Since Blei et al [21] published their LDA algorithm in 2003, LDA has been employed for several purposes such as analyzing customers' opinions in agricultural companies [32], commercial reviews [33], political issues [34], and topics in online news portals [35]. Additionally, LDA also has been implemented in the educational environment to analyze informatics engineering studies [36], project reports [37], undergraduate theses [38], scientific papers [39], and online educational resources [40,41]. Therefore, these numerous LDA implementations offer a promising tool in many fields, including physics education research (PER).…”

Section: Theoretical Reviewmentioning

confidence: 99%

Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning

Santoso

Istiyono

Haryanto

et al. 2022

Data

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Abundant physics education research (PER) literature has been disseminated through academic publications. Over the years, the growing body of literature challenges Indonesian PER scholars to understand how the research community has progressed and possible future work that should be encouraged. Nevertheless, the previous traditional method of thematic analysis possesses limitations when the amount of PER literature exponentially increases. In order to deal with this plethora of publications, one of the machine learning (ML) algorithms from natural language processing (NLP) studies was employed in this paper to automate a thematic analysis of Indonesian PER literature that still needs to be explored within the community. One of the well-known NLP algorithms, latent Dirichlet allocation (LDA), was used in this study to extract Indonesian PER topics and their evolution between 2014 and 2021. A total of 852 papers (~4 to 8 pages each) were collectively downloaded from five international conference proceedings organized, peer reviewed, and published by Indonesian PER researchers. Before their topics were modeled through the LDA algorithm, our data corpus was preprocessed through several common procedures of established NLP studies. The findings revealed that LDA had thematically quantified Indonesian PER topics and described their distinct development over a certain period. The identified topics from this study recommended that the Indonesian PER community establish robust development in eight distinct topics to the present. Here, we commenced with an initial interest focusing on research on physics laboratories and followed the research-based instruction in late 2015. For the past few years, the Indonesian PER scholars have mostly studied 21st century skills which have given way to a focus on developing relevant educational technologies and promoting the interdisciplinary aspects of physics education. We suggest an open room for Indonesian PER scholars to address the qualitative aspects of physics teaching and learning that is still scant within the literature.

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“…After Blei et al [19] published their LDA dissemination in 2003, LDA has been employed in several purposes such as analyzing the customer's opinion in agricultural companies [21], commercial reviews [22], political issues [23], and topics in online news portals [24]. Additionally, LDA also has been implemented in the educational environment to analyze informatics engineering studies [25], project report [26], undergraduate theses [27], scientific papers [28], and online educational resources [29,30]. Therefore, this numerous LDA implementations offer a promising tool in many fields even PER obviously.…”

Section: Theoretical Reviewmentioning

confidence: 99%

Thematic Analysis of Indonesian Physics Education Research Literatures Using Machine Learning

Santoso¹,

Istiyono²,

Haryanto³

et al. 2022

Preprint

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Emergent physics education research (PER) literatures have been disseminated through academic publications within the community. The growing body of literatures over years challenge Indonesian PER scholars to understand how the research community has been progressed and what possible future work that should be emphasized. Nevertheless, previous traditional method of thematic analysis performed serious limitation when the number of PER literatures exponentially increased. Dealing with this large volume of publications, one of the machine learning studies namely natural language processing (NLP) was employed in this study to automate our thematic analysis among Indonesian PER literatures that are still limited to be explored. One of the well-known NLP algorithm, latent Dirichlet allocation (LDA), has been performed to extract Indonesian PER topics and their associated development between 2014 and 2021. A total of 852 papers (~ 4 to 8 pages each) were collectively downloaded from five international conference proceedings organized by Indonesian PER researchers. Before their topics were modeled through LDA algorithm, our data corpus should be previously preprocessed through several common procedures of established NLP studies. Findings revealed that LDA has thematically quantified Indonesian PER topics and described their distinct development over certain period. The identified topics from this study demonstrated that Indonesian PER community has established robust development in eight distinctive topics to the present. They begin with initial interest in focusing research on physics laboratory and following the research based instruction in the late 2015. Indonesian PER scholars sustained to study continuous topic on 21st century skill until 2019 which gave way to a focus on developing relevant educational technology to address several forms of students’ performance including scientific literacy and problem solving. There is still lack of Indonesian PER literatures that have been attempted to address qualitative aspects of physics teaching and learning.

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Klasterisasi Dokumen Menggunakan Weighted K-Means Berdasarkan Relevansi Topik

Cited by 3 publications

References 14 publications

Analysis of Key Factors Affecting Undergraduate Entrepreneurship Ability from a Big Data Perspective

Analysis of Key Factors Affecting Undergraduate Entrepreneurship Ability from a Big Data Perspective

Thematic Analysis of Indonesian Physics Education Research Literature Using Machine Learning

Thematic Analysis of Indonesian Physics Education Research Literatures Using Machine Learning

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