Main Reference PaperA big data analytics method for tourist behaviour analysis, Information and Management, 2018 [Python]
  • To analyze the tourist behaviour, the proposed method comprises four techniques, such as (1) textual metadata processing extracts a list of interest candidates from geo tagged photos. (2) geographical data clustering, which aims to identify popular location(s) for each of the identified tourist interests. (3) representative photo identification for for each tourist interest candidates and (4) time series modelling, a time series data are constructed by counting the number of tourists according to months.

Description
  • To analyze the tourist behaviour, the proposed method comprises four techniques, such as (1) textual metadata processing extracts a list of interest candidates from geo tagged photos. (2) geographical data clustering, which aims to identify popular location(s) for each of the identified tourist interests. (3) representative photo identification for for each tourist interest candidates and (4) time series modelling, a time series data are constructed by counting the number of tourists according to months.

  • To predict the future tourism demand.

  • To identify the tourist’s interests and visited locations.

Aim & Objectives
  • To predict the future tourism demand.

  • To identify the tourist’s interests and visited locations.

  • A topic model algorithm is proposed to further improves the analysis capabilities.

Contribution
  • A topic model algorithm is proposed to further improves the analysis capabilities.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-project delivery Depending on the complexity of the project and requirements.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.

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