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

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

RAEESI VANANI IMAN; JALALI SEYED MOHAMMAD JAFAR

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Tourism Management Studies Year:2018 | Volume:13 | Issue:43 Page(s): 77-99

Download Full-Text

Persian Verion

View:

487

Download:

Cites:

Information Journal Paper

Title

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

Author(s)

RAEESI VANANI IMAN | JALALI SEYED MOHAMMAD JAFAR | Issue Writer Certificate

Keywords

TourismQ1

Burst Detection AlgorithmQ1

ScientometricsQ1

BibliometricsQ1

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.

Cites

No record.

References

No record.

Cite

APA: Copy

RAEESI VANANI, IMAN, & JALALI, SEYED MOHAMMAD JAFAR. (2018). Analytical Evaluation of Emerging Scientific Fields in Middle East Tourism Industry Using the Text Mining Algorithms. TOURISM MANAGEMENT STUDIES (TOURISM STUDIES), 13(43 ), 77-99. SID. https://sid.ir/paper/202625/en

Vancouver: Copy

RAEESI VANANI IMAN, JALALI SEYED MOHAMMAD JAFAR. Analytical Evaluation of Emerging Scientific Fields in Middle East Tourism Industry Using the Text Mining Algorithms. TOURISM MANAGEMENT STUDIES (TOURISM STUDIES)[Internet]. 2018;13(43 ):77-99. Available from: https://sid.ir/paper/202625/en

IEEE: Copy

IMAN RAEESI VANANI, and SEYED MOHAMMAD JAFAR JALALI, “Analytical Evaluation of Emerging Scientific Fields in Middle East Tourism Industry Using the Text Mining Algorithms,” TOURISM MANAGEMENT STUDIES (TOURISM STUDIES), vol. 13, no. 43 , pp. 77–99, 2018, [Online]. Available: https://sid.ir/paper/202625/en

Related Journal Papers