Kobra Bakhshizade; Omid Soleymanzadeh; Mohsen Fakour Yousefabad
Abstract
This study aimed to mapping the thematic networks of hotel guests experience by using text mining technique in 4 star hotel in Tehran city. This research has been done with a qualitative approach and is applied in terms of purpose and descriptive-analytical in terms of data collection method. Research ...
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This study aimed to mapping the thematic networks of hotel guests experience by using text mining technique in 4 star hotel in Tehran city. This research has been done with a qualitative approach and is applied in terms of purpose and descriptive-analytical in terms of data collection method. Research data is collected by using a crawler from the TripAdviser site. The statistical population of this study is all of 4 star hotel in Tehran city. The sampling method in this research is random sampling. To analyze the research data, the first text mining technique is used by RapidMiner software; then theme analysis is used. Thematic network of the research includes six themes as follows: physical environmental experience in the hotel, experience related to the staff in the hotel, social communication experience in the hotel, food experience in the hotel, location experience in the hotel and emotional experience in the hotel.
Zohreh Dehdashti Shahrokh
Abstract
Today, businesses desire to be managed by data driven marketing, in this way, many of them need useful data and of course they need methods for accurate data analysis, text mining is one of the new data analysis techniques used to analyze textual data, textual data For many years, they have remained ...
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Today, businesses desire to be managed by data driven marketing, in this way, many of them need useful data and of course they need methods for accurate data analysis, text mining is one of the new data analysis techniques used to analyze textual data, textual data For many years, they have remained unused for many reasons, such as large volume and worthlessness or lack of tools for analysis, while these data can provide relevant information from existing trends. In this research, we aimed to investigate the content structure of the Journal of Tourism Management Studies from the Institute of Technology and reviewed the articles published in this research journal from the beginning of 1382 to the end of 1397. Approximately 70 journals containing approximately 250 articles, including 43,100 words that included more than 100,000 times, were analyzed, and the study areas of this quartet in the last 15 years reported.
