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Raeesi Vanani, I., Jalali, S. (2018). Analytical Evaluation of Emerging Scientific Fields in Middle East Tourism Industry Using the Text Mining Algorithms. , 13(43), 77-99. doi: 10.22054/tms.2018.9448
Iman Raeesi Vanani; Seyed Mohammad Jafar Jalali. "Analytical Evaluation of Emerging Scientific Fields in Middle East Tourism Industry Using the Text Mining Algorithms". , 13, 43, 2018, 77-99. doi: 10.22054/tms.2018.9448
Raeesi Vanani, I., Jalali, S. (2018). 'Analytical Evaluation of Emerging Scientific Fields in Middle East Tourism Industry Using the Text Mining Algorithms', , 13(43), pp. 77-99. doi: 10.22054/tms.2018.9448
Raeesi Vanani, I., Jalali, S. Analytical Evaluation of Emerging Scientific Fields in Middle East Tourism Industry Using the Text Mining Algorithms. , 2018; 13(43): 77-99. doi: 10.22054/tms.2018.9448

Analytical Evaluation of Emerging Scientific Fields in Middle East Tourism Industry Using the Text Mining Algorithms

فصلنامه مطالعات مدیریت گردشگری
Article 4, Volume 13, Issue 43, September 2018, Pages 77-99    PDF (1.14 M)
Document Type: Research Paper
DOI: 10.22054/tms.2018.9448
Authors
Iman Raeesi Vanani* 1; Seyed Mohammad Jafar Jalali2
1Assistant Professor of Industrial Management, Allameh Tabataba’i University, Tehran, Iran
2Master Graduate of Information Technology Management, Allameh Tabataba’i University, Tehran, Iran.
Abstract
Tourism is an important industry from different aspects for government, industry, religious groups, anthropologists and tourists. The study of the scientific trend in the tourism sector can increase the knowledge of each group, and ultimately, promotes researchers' awareness of this area and appropriate decision making of business owners. The purpose of the present research is to investigate the scientific trend of tourism in all Middle Eastern countries, using the text-exploration algorithm of sequence exploration, which was selected as the most reliable scientific database of the world for reviewing articles. The purpose of this research is to investigate the scientific trend of tourism in all Middle Eastern countries, using the text-exploration algorithm of sequence exploration, which was selected as the most reliable scientific database of the world for reviewing articles. For this purpose, the Web of Science database was selected as the world's most authoritative database for reviewing articles. A total of 1141 articles were searched for the word "tourism", taking into account the Middle East countries on the database. Among the various methods for extracting and analyzing scientific trends, the valid method of text mining was selected using the Burst Detection algorithm, and this method is used to analyze and evaluate the extracted papers, which also has significant results. The results of the analysis of the articles show that some scientific areas have more repetition in the title, keywords, and abstracts of international articles which indicates the importance of these areas of science to other areas and the need for more attention to them in the field of tourism.
Keywords
Tourism; Burst Detection Algorithm; Scientometrics; Bibliometrics
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