Nevşehir Hacı Bektaş Veli University Course Catalogue
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| Year/Semester of Study | 1 / Spring Semester | ||||
| Level of Course | 2nd Cycle Degree Programme | ||||
| Type of Course | Optional | ||||
| Department | TOURISM TECHNOLOGIES AND INNOVATION (MASTER'S WITH THESIS) | ||||
| Pre-requisities and Co-requisites | None | ||||
| Mode of Delivery | Face to Face | ||||
| Teaching Period | 14 Weeks | ||||
| Name of Lecturer | İBRAHİM AKIN ÖZEN (akin@nevsehir.edu.tr) | ||||
| Name of Lecturer(s) | |||||
| Language of Instruction | Turkish | ||||
| Work Placement(s) | None | ||||
| Objectives of the Course | |||||
| It is aimed to analyze the textual comments created by tourists in online environments using text mining methods and to evaluate the results. | |||||
| Learning Outcomes | PO | MME | |
| The students who succeeded in this course: | |||
| LO-1 | To gain the ability to find and extract useful information from the text stack. |
PO-2 It can use innovative research methods to collect big data, evaluate it and use it in decision processes. PO-10 Knows how to apply different management tools in tourism business with special emphasis on information and communication technologies and indicative measurements. PO-12 It can search and organize information from different sources and interpret the results to create detailed reports. PO-15 Gain problem solving skills by using research methods used in different disciplines. |
Performance Project |
| LO-2 | To gain the ability to analyze, clean and combine the text stack. |
PO-2 It can use innovative research methods to collect big data, evaluate it and use it in decision processes. PO-12 It can search and organize information from different sources and interpret the results to create detailed reports. PO-15 Gain problem solving skills by using research methods used in different disciplines. |
Performance Project Practice Exam |
| LO-3 | Can apply text mining methods. |
PO-2 It can use innovative research methods to collect big data, evaluate it and use it in decision processes. PO-5 Can apply artificial intelligence approaches to tourism problems. PO-10 Knows how to apply different management tools in tourism business with special emphasis on information and communication technologies and indicative measurements. |
Performance Project Practice Exam |
| LO-4 | Gain classification and clustering knowledge and skills with machine learning methods |
PO-5 Can apply artificial intelligence approaches to tourism problems. PO-12 It can search and organize information from different sources and interpret the results to create detailed reports. PO-15 Gain problem solving skills by using research methods used in different disciplines. |
Performance Project Practice Exam |
| PO: Programme Outcomes MME:Method of measurement & Evaluation |
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| Course Contents | ||
| Within the scope of this course, theoretical methods and applications for the analysis and visualization of textual data concerning the tourism sector will be discussed. | ||
| Weekly Course Content | ||
| Week | Subject | Learning Activities and Teaching Methods |
| 1 | Online Data Sources in the Tourism Industry | Lecture, Q&A |
| 2 | Online Data collection methods | Lecture, Q&A |
| 3 | Introduction to Text Mining - Text mining software | Lecture, Q&A |
| 4 | Data Processing Stages in Text Mining (text preprocessing, text filtering, data transformation) | Lecture, Q&A |
| 5 | Text mining method | Lecture, Q&A |
| 6 | Vector Space Model – Word Vector | Lecture, Q&A |
| 7 | Term Frequency-Term Frequency- Inverse Document Frequency | Lecture, Q&A |
| 8 | mid-term exam | |
| 9 | text classfication, text clustering | Lecture, Q&A |
| 10 | topic extraction | Lecture, Q&A |
| 11 | Seniment Analysis, Aspect-Based sentiment analysis | Lecture, Q&A |
| 12 | Text mining applications for Tourism Businesses | Lecture, Q&A |
| 13 | Text mining applications for Destination Management | Lecture, Q&A |
| 14 | text mining applications | Lecture, Q&A |
| 15 | text mining applications | Lecture, Q&A |
| 16 | final exam | |
| Recommend Course Book / Supplementary Book/Reading | ||
| 1 | https://digitalcommons.usf.edu/cgi/viewcontent.cgi?article=1013&context=m3publishing | |
| 2 | Advances in Hospitality and Tourism Information Technology, Bölüm adı:(Tourism Products and Sentiment Analysis) (2021)., ÖZEN İBRAHİM AKIN, University of South Florida M3 Publishing 2021, Sarasota, FL 34243 USA, | |
| 3 | Opinion Mining in Tourism: A Study on ”Cappadocia Home Cooking” Restaurant) (2020)., ÖZEN İBRAHİM AKIN,İLHAN İBRAHİM, IGI Global, Editör:Evrim Çeltek, Basım sayısı:1, Sayfa Sayısı 430, ISBN:9781799819899 | |
| 4 | Turizm Sektöründe Metin Madenciliği) (2021)., ÖZEN İBRAHİM AKIN, Detay Yayıncılık | |
| Required Course instruments and materials | ||
| Text mining software | ||
| Assessment Methods | |||
| Type of Assessment | Week | Hours | Weight(%) |
| mid-term exam | 8 | 2 | |
| Other assessment methods | |||
| 1.Oral Examination | |||
| 2.Quiz | |||
| 3.Laboratory exam | |||
| 4.Presentation | |||
| 5.Report | |||
| 6.Workshop | |||
| 7.Performance Project | |||
| 8.Term Paper | |||
| 9.Project | |||
| final exam | 16 | 2 | |
| Student Work Load | |||
| Type of Work | Weekly Hours | Number of Weeks | Work Load |
| Weekly Course Hours (Theoretical+Practice) | 3 | 14 | 42 |
| Outside Class | |||
| a) Reading | 2 | 12 | 24 |
| b) Search in internet/Library | 2 | 12 | 24 |
| c) Performance Project | 0 | ||
| d) Prepare a workshop/Presentation/Report | 0 | ||
| e) Term paper/Project | 4 | 14 | 56 |
| Oral Examination | 0 | ||
| Quiz | 0 | ||
| Laboratory exam | 0 | ||
| Own study for mid-term exam | 3 | 5 | 15 |
| mid-term exam | 1 | 2 | 2 |
| Own study for final exam | 3 | 5 | 15 |
| final exam | 1 | 2 | 2 |
| 0 | |||
| 0 | |||
| Total work load; | 180 | ||