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نتیجه جستجو - Travel blog

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Storytelling approach of the self-reported slow adventure to Tibet: Constructing experience and identity
رویکرد داستان پردازی از ماجراجویی کند گزارش شده خود به تبت: ساخت تجربه و هویت-2020
Most of our travel experiences are stored, recorded, and relived in the form of stories; tourist blogs have emerged as a modern form of travel story. These stories provide information about exciting moments and memorable events, which are usually emotional highpoints that can be useful for tourism marketers. Based on the sociological concept of storytelling, this study investigates which aspects of the slow adventure experience travelers present in their travel blogs through a rubric elaborated on extant literature. The findings reveal three types of slow adventure stories, and each type of story relates to a different identity construction. The article concludes with a discussion of its theoretical contributions in terms of adding to the literature of adventure tourism and storytelling. In revealing the themes and identities relating to specific slow adventure experiences, it provides potential practical implications of travel blogs for slow adventure product designers and marketers.
Keywords: Adventure tourism | Travel blog | Storytelling | Identity management | Tourist experience
مقاله انگلیسی
2 What makes tourists feel negatively about tourism destinations? Application of hybrid text mining methodology to smart destination management
چه چیزی باعث احساس منفی گردشگران درباره مقصد گردشگری میشود ؟ استفاده از متدولوژی استخراج متن ترکیبی به مدیریت مقصد هوشمند-2017
Recently, the Internet has brought a big change in tourists behavior patterns. Travelers not only reserve hotels and airline tickets online, but also exchange travel information and descriptions of pleasant or unpleasant travel experiences through online review sites and personal travel blogs. In spite of the increasing use of online channels, application of online text data has been limited since the volume of the data set is too large to analyze manually and comprehensively. With recent technological advances in processing big data online, consumer generated information can be automatically analyzed by artificial intelligence. As an aspect of smart tourism, this study applied the sentiment analysis method to analyze travelers online re views of Paris. A total of 19,835 pieces of review data collected from a traveler review site (www.virtualtourist. com) were processed. All reviews were grouped into 14 categories as follows: overview, restaurants, sightseeing, hotels, things to do, night life, transportation, shopping, sporting & outdoors, favorites, off the beaten path, what to pack, tourist traps, warnings and danger, and local customs. Tourists perception about the service in each cat egory was successfully measured, and as an illustration, we chose “transportation” category that reported rela tively low level of service quality for post-hoc analysis to reveal why tourists feel negatively about the transportation service.
Keywords: Smart tourism | Smart destination management | Sentiment analysis | Text mining | User-generated content (UGC)
مقاله انگلیسی
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بازدید امروز: 2047 :::::::: بازدید دیروز: 3097 :::::::: بازدید کل: 36314 :::::::: افراد آنلاین: 24