Türkiye’deki Otel Konuk Yorumları ve Puanlarının Metin Madenciliği ile Analizi(Analysis of Hotel Guest Reviews and Ratings in Turkey with Text Mining)
The comments and ratings of the guests on the internet about the hotels they stayed in are one of the important factors that affect the choice of the guests who are considering staying at the property. Before booking a hotel, guests can read guest reviews on online travel agencies or travel pl...
| Main Authors: | , |
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| Format: | Article |
| Language: | deu |
| Published: |
Celal Bayar University
2023-06-01
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| Series: | Yönetim ve Ekonomi |
| Subjects: |
| _version_ | 1797803153884708864 |
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| author | Yılmaz AĞCA Cemil GÜNDÜZ |
| author_facet | Yılmaz AĞCA Cemil GÜNDÜZ |
| author_sort | Yılmaz AĞCA |
| collection | DOAJ |
| description | The comments and ratings of the guests on the internet about the hotels they stayed in are
one of the important factors that affect the choice of the guests who are considering staying at the
property. Before booking a hotel, guests can read guest reviews on online travel agencies or travel
platforms and decide accordingly. In this study, the ratings and comments of the guests for the hotels they stayed in were
analyzed by text mining. For this, the comments and scores made in Turkish about the accommodation
facilities in Turkey from an online travel agency were obtained by web mining, and then they were
subjected to text mining. 60252 Turkish guest comments and scores were analyzed in the study.
Accordingly, the average guest rating of accommodation facilities in Turkey is 3.93. Villa type
facilities got the highest score (p=4.22; n=854). The Central Anatolia region (p=4.07; n=5131) got
the highest score as a geographical region, and Nevşehir (p=4.53; n=2320) as a province.
As a result of the text mining applied within the scope of the research, when the most
repeated single words in the hotel comments are grouped according to the scores; It has been found
that the guests do not recommend the facilities they give 1 point, they recommend the facilities they
give 4 and 5 points. It was determined that the guests mostly gave their opinions about the room,
breakfast, water and cleanliness in the facilities they gave low scores. On the other hand, in the
facilities where the guests gave high scores, it was observed that the hotel was clean and the staff
used words expressing that they were interested in the guest.
As a result of the research, the factors that cause dislike and therefore a low score in Turkish
comments on accommodation facilities in Turkey; It has been determined as a result of text mining
that it is related to the problem of room, breakfast, cleaning and hot water. It is seen that the factors
that cause high scores are also related to cleanliness and the interest of the staff. In terms of knowing
the factors related to guest satisfaction, guest complaints and satisfaction; it is thought that it will
contribute to sector managers, entrepreneurs and researchers. |
| first_indexed | 2024-03-13T05:16:33Z |
| format | Article |
| id | doaj.art-cd5eb7e871df4a89b1ce3aedc917f81b |
| institution | Directory Open Access Journal |
| issn | 1302-0064 |
| language | deu |
| last_indexed | 2024-03-13T05:16:33Z |
| publishDate | 2023-06-01 |
| publisher | Celal Bayar University |
| record_format | Article |
| series | Yönetim ve Ekonomi |
| spelling | doaj.art-cd5eb7e871df4a89b1ce3aedc917f81b2023-06-15T21:12:07ZdeuCelal Bayar UniversityYönetim ve Ekonomi1302-00642023-06-0130239741110.18657/yonveek.1063592Türkiye’deki Otel Konuk Yorumları ve Puanlarının Metin Madenciliği ile Analizi(Analysis of Hotel Guest Reviews and Ratings in Turkey with Text Mining)Yılmaz AĞCACemil GÜNDÜZThe comments and ratings of the guests on the internet about the hotels they stayed in are one of the important factors that affect the choice of the guests who are considering staying at the property. Before booking a hotel, guests can read guest reviews on online travel agencies or travel platforms and decide accordingly. In this study, the ratings and comments of the guests for the hotels they stayed in were analyzed by text mining. For this, the comments and scores made in Turkish about the accommodation facilities in Turkey from an online travel agency were obtained by web mining, and then they were subjected to text mining. 60252 Turkish guest comments and scores were analyzed in the study. Accordingly, the average guest rating of accommodation facilities in Turkey is 3.93. Villa type facilities got the highest score (p=4.22; n=854). The Central Anatolia region (p=4.07; n=5131) got the highest score as a geographical region, and Nevşehir (p=4.53; n=2320) as a province. As a result of the text mining applied within the scope of the research, when the most repeated single words in the hotel comments are grouped according to the scores; It has been found that the guests do not recommend the facilities they give 1 point, they recommend the facilities they give 4 and 5 points. It was determined that the guests mostly gave their opinions about the room, breakfast, water and cleanliness in the facilities they gave low scores. On the other hand, in the facilities where the guests gave high scores, it was observed that the hotel was clean and the staff used words expressing that they were interested in the guest. As a result of the research, the factors that cause dislike and therefore a low score in Turkish comments on accommodation facilities in Turkey; It has been determined as a result of text mining that it is related to the problem of room, breakfast, cleaning and hot water. It is seen that the factors that cause high scores are also related to cleanliness and the interest of the staff. In terms of knowing the factors related to guest satisfaction, guest complaints and satisfaction; it is thought that it will contribute to sector managers, entrepreneurs and researchers.text mininghotel customer reviewshotel customer rates |
| spellingShingle | Yılmaz AĞCA Cemil GÜNDÜZ Türkiye’deki Otel Konuk Yorumları ve Puanlarının Metin Madenciliği ile Analizi(Analysis of Hotel Guest Reviews and Ratings in Turkey with Text Mining) Yönetim ve Ekonomi text mining hotel customer reviews hotel customer rates |
| title | Türkiye’deki Otel Konuk Yorumları ve Puanlarının Metin Madenciliği ile Analizi(Analysis of Hotel Guest Reviews and Ratings in Turkey with Text Mining) |
| title_full | Türkiye’deki Otel Konuk Yorumları ve Puanlarının Metin Madenciliği ile Analizi(Analysis of Hotel Guest Reviews and Ratings in Turkey with Text Mining) |
| title_fullStr | Türkiye’deki Otel Konuk Yorumları ve Puanlarının Metin Madenciliği ile Analizi(Analysis of Hotel Guest Reviews and Ratings in Turkey with Text Mining) |
| title_full_unstemmed | Türkiye’deki Otel Konuk Yorumları ve Puanlarının Metin Madenciliği ile Analizi(Analysis of Hotel Guest Reviews and Ratings in Turkey with Text Mining) |
| title_short | Türkiye’deki Otel Konuk Yorumları ve Puanlarının Metin Madenciliği ile Analizi(Analysis of Hotel Guest Reviews and Ratings in Turkey with Text Mining) |
| title_sort | turkiye deki otel konuk yorumlari ve puanlarinin metin madenciligi ile analizi analysis of hotel guest reviews and ratings in turkey with text mining |
| topic | text mining hotel customer reviews hotel customer rates |
| work_keys_str_mv | AT yılmazagca turkiyedekiotelkonukyorumlarıvepuanlarınınmetinmadenciligiileanalizianalysisofhotelguestreviewsandratingsinturkeywithtextmining AT cemilgunduz turkiyedekiotelkonukyorumlarıvepuanlarınınmetinmadenciligiileanalizianalysisofhotelguestreviewsandratingsinturkeywithtextmining |