Nagpal, C. K.. A big data analytics framework for analyzing global tourism trends of Indians using social media analytics. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2023.
A big data analytics framework for analyzing global tourism trends of Indians using social media analytics
Abstract:
While planning to visit a place it is very difficult to
decide any place based on our preferences that may include,
availability of veg food or weather a place is family friendly or
not. Searching out such place is really a cumbersome task which
involves going around good number of websites and social media
platforms and reading never ending reviews. To cater this
evolving issue an innovative and simple solution is proposed in
this paper.
Here, Data is extracted from world famous and most authentic
travel website TripAdvisor, where most of users post their
experiences in form of review about the place they have visited in
natural language text. The system extracts these reviews and
analyzes with the help of machine learning model based on five
factors that are of common concern like Veg_food availability,
Family_friendliness, other_facilities, destination and hotels
around etc., based on users true experiences. The system
generates likeness score on the scale of 0 to 1, for each
destination to visit on the basis of these metrics and an overall
rating is represented visually for the ease of future user.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2023
Modified:
2024-05-13
Issued:
2024-05-13
บทความ/Article
application/pdf
BibliograpyCitation :
In IEEE Computer Society. 2022 Fifth International Conference on Computational Intelligence and Communication Technologies (CCICT 2022) (pp.49-55). Los Alamitos, CA : IEEE Computer Society