Online satisfaction degree evaluation method based on internet tourist commenting data
An evaluation method and Internet technology, applied in data processing applications, electronic digital data processing, digital data information retrieval, etc., can solve the problems of insufficient utilization of online review data, low participation, marketing and management decision-making, etc., to achieve Effects of effective tourism management and marketing decisions
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Embodiment 1
[0075] A certain scenic spot hopes to improve and precisely market the scenic spot according to the pain points of tourists, and adopts the online satisfaction evaluation method based on Internet tourist review data provided by the present invention. For example, in the UGC data of this scenic spot, the "toilet" dimension score is low , "unhygienic", "dirty, messy and smelly" and other evaluations are more, the scenic spot can effectively improve the toilet problems in the scenic spot according to tourists, so as to improve the tourist experience; another example, in the UGC data of the scenic spot The "service" dimension has a high score, and there are many evaluations such as "good service at the best location" and "good service at the best project". Tourist attractions can make corresponding precise marketing decisions based on their own advantages.
Embodiment 2
[0077] A tourist destination hopes to improve and precisely market the destination according to the pain points of tourists. Using the online satisfaction evaluation method based on Internet tourist comment data provided by the present invention, for example, in the UGC data of the destination, the "price" dimension score is low, and there are many evaluations such as "arbitrary fees" and "high fees". The locality can effectively rectify the consumption price problems reported by tourists in the destination, so as to improve the tourists' travel experience; There are many evaluations such as "unique folk culture" and "existing legends in famous scenic spots", and tourism destinations can make corresponding precise marketing decisions based on their own advantages.
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