Trend Topic Analysis for Wind Energy Researches: A Data Mining Approach Using Text Mining

Eroğlu, Yunus; Seçkiner, Serap Ulusam

doi:10.6000/1929-6002.2016.05.02.2

Cited by 4 publications

(5 citation statements)

References 41 publications

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“…Kim et al ( 6 ) performed a study into bioinformatics that aimed to generate a system to provide reference materials to let NLP techniques work in bio-text mining. Also, they used text mining techniques to identify trend topics and study clusters in the area of wind energy ( 7 ). Shi et al ( 8 ) used a methodology perspective to identify risk factors in safety management systems.…”

Section: Literaturementioning

confidence: 99%

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Investigation of Breaking Points in the Airline Industry with Airline Optimization Studies Through Text Mining before the COVID-19 Pandemic

Atay

Eroğlu

Seçkiner

2021

Transportation Research Record: Journal of the Transportation R

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In this study, current literature in the field of airline optimization has been examined by the text mining method to understand trends and commercial threats in the airline industry. Prominent types of work and popular topics have been revealed to understand the importance of global events. This research summarizes trends and some important points relating to airline optimization. The results are striking. It analyzes studies conducted on behalf of aviation before the global COVID-19 pandemic. The economic contribution made by the aviation sector as well as the costs it suffers as a result of crisis situations are clearly explained. Reasons for differences in studies conducted by different countries in the field of aviation are also explained. This study is intended to give an idea of how the aviation sector shapes academic studies, how studies on aviation optimization could contribute in the future, and how the countries have addressed important challenges to the aviation industry in the past.

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Section: Literaturementioning

confidence: 99%

“…Country Rankings on Number of Publications until the End of the Year 2018 into bioinformatics that aimed to generate a system to provide reference materials to let NLP techniques work in bio-text mining. Also, they used text mining techniques to identify trend topics and study clusters in the area of wind energy(7).Shi et al …”

mentioning

confidence: 99%

Investigation of Breaking Points in the Airline Industry with Airline Optimization Studies Through Text Mining before the COVID-19 Pandemic

Atay

Eroğlu

Seçkiner

2021

Transportation Research Record: Journal of the Transportation R

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“…Ayrıca, yatırımcılar küresel ve yerel pazardaki yerlerini koruyabilmek için mevcut rüzgâr çiftliklerinde maliyetleri düşürecek kontrol ve izleme araçları geliştirmek için büyük çaba göstermektedirler [8]. Eroğlu ve Seçkiner'in [9] hazırladıkları bir çalışmaya göre, rüzgâr enerjisi ile ilgili yapılan 7000'den fazla makale incelenmiş ve özellikle son dönemlerde maksimum güç üretimine, en etkin parametrelerle beraber yönetimsel amaçlarla ve bu doğrultuda dinamik ve akıllı kontrol yöntemlerine odaklanıldığı belirtilmiştir. Özetle, mevcut literatüre göre akademik çalışmalar "Bir rüzgâr santrali hangi etkin parametrelerde en yüksek performansta çalışır?"…”

Section: şEkilunclassified

Stokastik sınır analizi kullanarak rüzgâr türbinleri için etkinlik değerlendirmesi

Akalın¹,

Seçkiner²,

Eroğlu³

2017

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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“…Moreover, they emphasized that new methods and technologies should be developed in airline operations to minimize the damage by considering environmental factors. As for examples from the field of energy, text mining research in the literature for the trend of optimization studies in wind energy [10] and the analysis of wind turbine accident news can be examined as examples [11]. In line with the research of the authors, almost no study was found using the text mining method related to forest fires; the exception was a study based on the analysis of tweets posted after the forest fire [12].…”

Section: Introductionmentioning

confidence: 99%

“…Text contents are analyzed with a suitable text mining software (Statistica's text mining tool was used in this study. The use of Statistica's text mining tool along with the user interfaces is given in step-by-step reference [10]);…”

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confidence: 99%

Text Mining Approach for Trend Tracking in Scientific Research: A Case Study on Forest Fire

Eroğlu

2023

Fire

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Scientific studies are increasing day by day with the development of technology. Today, more than 171 billion academic records are made available to researchers via the Web of Science database, which is frequently followed by the scientific community, and is where records of articles, proceedings, and books in many different fields are kept. More than 40 thousand studies are reached when a search is made for research on forest fires in the relevant database. It is unfeasible to examine and read so many publications and understand what topics are important in the relevant field, what is trending, or whether there is a difference between the subjects studied based on years and/or regions/countries. The most effective and scientific method of deriving information from such large and unstructured data is text mining. In this study, text mining is used to reveal where the research on forest fires in the Web of Science database concentrates, which study topics have emerged, how an issue’s level of importance changes over the years, and which topics different countries focus on. Therefore, the abstracts of approximately 32 thousand articles published in English were collected and analyzed based on the country of the authors and the published years. Over 600 words in the abstracts were indexed for each article and their importance was calculated according to inverse document frequency. A size reduction was made to determine the main concepts of the articles by using the singular value decomposition and a total of 29 different concepts were found. Among these, important concepts can be mentioned such as damage to vegetation and species affected, post-fire actions, fire management, and post-fire structural changes. Considering all the articles, studies on soil, fuel (biofuel), treatment, emissions, and species were found to be important. The results we have obtained in this study are by no means a summary of the research carried out in the field; they do, however, allow statistical due diligence concerning, for example, which subjects are important in the relevant field, the determination of increasing and decreasing trending topics, which countries attach importance to in the same research, and so on. Thus, it will function as be a guide in terms of the direction, timing, and budget allocation of research plans in a specific area in the future.

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Trend Topic Analysis for Wind Energy Researches: A Data Mining Approach Using Text Mining

Cited by 4 publications

References 41 publications

Investigation of Breaking Points in the Airline Industry with Airline Optimization Studies Through Text Mining before the COVID-19 Pandemic

Investigation of Breaking Points in the Airline Industry with Airline Optimization Studies Through Text Mining before the COVID-19 Pandemic

Stokastik sınır analizi kullanarak rüzgâr türbinleri için etkinlik değerlendirmesi

Text Mining Approach for Trend Tracking in Scientific Research: A Case Study on Forest Fire

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