Text-Mining Techniques and Tools for Systematic Literature Reviews: A Systematic Literature Review

Feng, Luyi; Chiam, Yin Kia; Lo, Sin Kuang

doi:10.1109/apsec.2017.10

Cited by 58 publications

(44 citation statements)

References 41 publications

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“…Other works on the automation of literature review proposed somewhat similar processes to conduct literature analysis (Delen & Crossland, 2008;Feng et al, 2017;Haneem et al, 2017;Nunez-Mir et al, 2016;Tsafnat et al, 2014). However, those processes differ in the techniques or approaches employed.…”

Section: Methodsmentioning

confidence: 99%

“…This progressive difficulty in carrying out an adequate literature review causes some authors to defend the need to take advantage of technological advances to automate literature reviews. This automation would potentially enable faster and less resource-intensive literature reviews (Bragge, Relander, Sunikka, & Mannonen, 2007;Feng, Chiam, & Lo, 2017;Tsafnat et al, 2014). In fact, in a literature review conducted by Feng et al (2017), the authors found 32 relevant studies that advocated the use of automated or semiautomated solutions to support systematic literature reviews.…”

Section: Automatic Literature Reviewmentioning

confidence: 99%

“…This automation would potentially enable faster and less resource-intensive literature reviews (Bragge, Relander, Sunikka, & Mannonen, 2007;Feng, Chiam, & Lo, 2017;Tsafnat et al, 2014). In fact, in a literature review conducted by Feng et al (2017), the authors found 32 relevant studies that advocated the use of automated or semiautomated solutions to support systematic literature reviews. Systematic literature reviews assess and interpret existing literature pertinent to a specific research topic, subject, or phenomenon (Kitchenham & Charters, 2017).…”

Section: Automatic Literature Reviewmentioning

confidence: 99%

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Predictive models for hotel booking cancellation: a semi-automated analysis of the literature

António

Almeida²,

Nunes³

2019

TMS

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This study sought to combine data science tools and capabilities with human judgement and interpretation in order to demonstrate how semiautomatic analysis of the literature can contribute to identifying and synthesising research findings and topics about booking cancellation forecasting. The study also focused on recording in detail the analysis's full experimental procedure to encourage other researchers to conduct automated literature reviews in order to understand more fully the current tendencies in their field of study. The data were obtained through a keyword search in Scopus and Web of Science databases. The methodology presented not only diminishes human bias but also enhances data visualisation and text mining techniques' ability to facilitate abstraction, expedite analysis and improve literature reviews. The results show that, despite the importance of forecasting booking cancellations to understanding net demand and improving cancellation and overbooking policies, further research on this subject is needed.

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Section: Methodsmentioning

confidence: 99%

Section: Automatic Literature Reviewmentioning

confidence: 99%

Section: Automatic Literature Reviewmentioning

confidence: 99%

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Predictive models for hotel booking cancellation: a semi-automated analysis of the literature

António

Almeida²,

Nunes³

2019

TMS

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“…As técnicas de visualização podem melhorar o processo de ER e, portanto, fornecer soluções práticas para reduzir mal-entendidos e lacunas de comunicação relacionadas à identificação e comunicação de requisitos (ABAD, NOAEEN, RUHE, 2016;FENG, CHIAM, LO, 2017;REDDIVARI, CHEN, NIU, 2012).…”

Section: Visualizaçãounclassified

“…O apoio da mineração de texto para melhorar a obtenção de conhecimento e acelerar as tarefas de elicitação é considerada uma solução viável e em ascensão (KUCHER, KERREN, 2015). A mineração de texto pode ser definida como uma ferramenta que vem da área de processamento automático de texto e que permite localizar e extrair as informações mais importantes e essenciais dos documentos (FENG, CHIAM, LO, 2017), além de informações e conhecimento implícito e oculto (TAN, 1999) em grande corpora textual, estruturados ou não estruturados, como mensagens de e-mail, discursos, artigos, entre outros (ZAYAS, MEDEROS, 2007).…”

Section: Introductionunclassified

Visualização De Texto Minerado Para Extração De Requisitos

BARRIO¹

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Model based systems engineering—A text mining based structured comprehensive overview

Akundi

Mondragon

2021

Systems Engineering

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An observed increase in systems scale and complexity has led to a significant momentum in exploring, identifying, and adopting model based systems engineering (MBSE) tools and techniques amongst research communities and industry practitioners. Several attempts to transform systems design and engineering practices through the use of MBSE in academia and industry has led to a considerable increase in the number of articles published containing the keyword "MBSE." This growth serves as the motivation in this paper to explore the MBSE landscape with the help of text mining techniques to identify the most often used key terms, tools, and languages, in the context of research in MBSE and the thematic aspects defining the use of MBSE by researchers and practitioners. The objective of this paper is to provide a structured comprehensive overview of research contributions across the MBSE landscape by employing text mining techniques for: (a) identifying the concepts and methodologies inferred upon in relation to MBSE, and (b) classifying the literature published to identify commonalities across academic researchers and practitioners using MBSE tools and methods.For this purpose, the abstracts of 2380 relevant articles published in the period of the last two decades from five different databases are mined. It is found that the terms "SysML," "Cyber Physical Systems," and "Production" are the most used terms among researchers across the MBSE landscape with SysML being the most widely used modeling language. Further, six major thematic topics are identified that classify articles from over the last two decades with an increasing interest observed in the use of MBSE to support manufacturing and production engineering activities, especially in the cyber physical systems domain. The contributions of this paper provide a leeway on using text mining techniques to understand the research directions that are currently of interest in the field of MBSE and thereby identify potential future research directions.

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Text-Mining Techniques and Tools for Systematic Literature Reviews: A Systematic Literature Review

Cited by 58 publications

References 41 publications

Predictive models for hotel booking cancellation: a semi-automated analysis of the literature

Predictive models for hotel booking cancellation: a semi-automated analysis of the literature

Visualização De Texto Minerado Para Extração De Requisitos

Model based systems engineering—A text mining based structured comprehensive overview

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